Bo Zheng | Papers With Code

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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/focusllava-a-coarse-to-fine-approach-for">FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/focusllava-a-coarse-to-fine-approach-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">21 Nov 2024</span> • <span class="author-span "> <a href="/author/yuke-zhu">Yuke Zhu</a></span>, <span class="author-span "> <a href="/author/chi-xie">Chi Xie</a></span>, <span class="author-span "> <a href="/author/shuang-liang">Shuang Liang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/sheng-guo">Sheng Guo</a></span> </p> <p class="item-strip-abstract">Recent advances on Multi-modal Large Language Models have demonstrated that high-resolution image input is crucial for model capabilities, especially for fine-grained tasks.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/focusllava-a-coarse-to-fine-approach-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/focusllava-a-coarse-to-fine-approach-for#code" class="badge badge-dark badge-nocode "> <span 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/explainable-llm-driven-multi-dimensional">Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/explainable-llm-driven-multi-dimensional#code">no code implementations</a> • <span class="author-name-text item-date-pub">20 Nov 2024</span> • <span class="author-span "> <a href="/author/gang-zhao">Gang Zhao</a></span>, <span class="author-span "> <a href="/author/ximing-zhang">XiMing Zhang</a></span>, <span class="author-span "> <a href="/author/chenji-lu">Chenji Lu</a></span>, <span class="author-span "> <a href="/author/hui-zhao">Hui Zhao</a></span>, <span class="author-span "> <a href="/author/tianshu-wu">Tianshu Wu</a></span>, <span class="author-span "> <a href="/author/pengjie-wang">Pengjie Wang</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Effective query-item relevance modeling is pivotal for enhancing user experience and safeguarding user satisfaction in e-commerce search systems.</p> <div class="sota"> </div> <p> <a href="/task/knowledge-distillation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Knowledge Distillation</span> </span> </a> <a href="/task/large-language-model"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Large Language Model</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/explainable-llm-driven-multi-dimensional" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/explainable-llm-driven-multi-dimensional#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/enhancing-vision-language-model-safety"> <div class="item-image" style="background-image: 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/enhancing-vision-language-model-safety">Enhancing Vision-Language Model Safety through Progressive Concept-Bottleneck-Driven Alignment</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/enhancing-vision-language-model-safety#code">no code implementations</a> • <span class="author-name-text item-date-pub">18 Nov 2024</span> • <span class="author-span "> <a href="/author/zhendong-liu">Zhendong Liu</a></span>, <span class="author-span "> <a href="/author/yuanbi-nie">Yuanbi Nie</a></span>, <span class="author-span "> <a href="/author/yingshui-tan">Yingshui Tan</a></span>, <span class="author-span "> <a href="/author/xiangyu-yue">Xiangyu Yue</a></span>, <span class="author-span "> <a href="/author/qiushi-cui">Qiushi Cui</a></span>, <span class="author-span "> <a href="/author/chongjun-wang">Chongjun Wang</a></span>, <span class="author-span "> <a href="/author/xiaoyong-zhu">Xiaoyong Zhu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">However, recent research shows that the visual modality in VLMs is highly vulnerable, allowing attackers to bypass safety alignment in LLMs through visually transmitted content, launching harmful attacks.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/safety-alignment"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Safety Alignment</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/enhancing-vision-language-model-safety" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/enhancing-vision-language-model-safety#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/chinese-simpleqa-a-chinese-factuality">Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/chinese-simpleqa-a-chinese-factuality#code">no code implementations</a> • <span class="author-name-text item-date-pub">11 Nov 2024</span> • <span class="author-span "> <a href="/author/yancheng-he">Yancheng He</a></span>, <span class="author-span "> <a href="/author/shilong-li">Shilong Li</a></span>, <span class="author-span "> <a href="/author/jiaheng-liu">Jiaheng Liu</a></span>, <span class="author-span "> <a href="/author/yingshui-tan">Yingshui Tan</a></span>, <span class="author-span "> <a href="/author/weixun-wang">Weixun Wang</a></span>, <span class="author-span "> <a href="/author/hui-huang">Hui Huang</a></span>, <span class="author-span "> <a href="/author/xingyuan-bu">Xingyuan Bu</a></span>, <span class="author-span "> <a href="/author/hangyu-guo">Hangyu Guo</a></span>, <span class="author-span "> <a href="/author/chengwei-hu">Chengwei Hu</a></span>, <span class="author-span "> <a href="/author/boren-zheng">Boren Zheng</a></span>, <span class="author-span "> <a href="/author/zhuoran-lin">Zhuoran Lin</a></span>, <span class="author-span "> <a href="/author/xuepeng-liu">Xuepeng Liu</a></span>, <span class="author-span "> <a href="/author/dekai-sun">Dekai Sun</a></span>, <span class="author-span "> <a href="/author/shirong-lin">Shirong Lin</a></span>, <span class="author-span "> <a href="/author/zhicheng-zheng">Zhicheng Zheng</a></span>, <span class="author-span "> <a href="/author/xiaoyong-zhu">Xiaoyong Zhu</a></span>, <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Based on Chinese SimpleQA, we perform a comprehensive evaluation on the factuality abilities of existing LLMs.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/chinese-simpleqa-a-chinese-factuality" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/chinese-simpleqa-a-chinese-factuality#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/flowdcn-exploring-dcn-like-architectures-for"> <div class="item-image" style="background-image: url('data:image/jpeg;base64,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');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/flowdcn-exploring-dcn-like-architectures-for">FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/flowdcn-exploring-dcn-like-architectures-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">30 Oct 2024</span> • <span class="author-span "> <a href="/author/shuai-wang">Shuai Wang</a></span>, <span class="author-span "> <a href="/author/zexian-li">Zexian Li</a></span>, <span class="author-span "> <a href="/author/tianhui-song">Tianhui Song</a></span>, <span class="author-span "> <a href="/author/xubin-li">Xubin Li</a></span>, <span class="author-span "> <a href="/author/tiezheng-ge">Tiezheng Ge</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/limin-wang">LiMin Wang</a></span> </p> <p class="item-strip-abstract">Arbitrary-resolution image generation still remains a challenging task in AIGC, as it requires handling varying resolutions and aspect ratios while maintaining high visual quality.</p> <div class="sota"> </div> <p> <a href="/task/image-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/5ac09bd9-8785-4253-8cf4-4412dcd36426.jpg"> <span>Image Generation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/flowdcn-exploring-dcn-like-architectures-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/flowdcn-exploring-dcn-like-architectures-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/m2rc-eval-massively-multilingual-repository"> <div class="item-image" style="background-image: url('data:image/jpeg;base64,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');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/m2rc-eval-massively-multilingual-repository">M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/m2rc-eval-massively-multilingual-repository#code">no code implementations</a> • <span class="author-name-text item-date-pub">28 Oct 2024</span> • <span class="author-span "> <a href="/author/jiaheng-liu">Jiaheng Liu</a></span>, <span class="author-span "> <a href="/author/ken-deng">Ken Deng</a></span>, <span class="author-span "> <a href="/author/congnan-liu">Congnan Liu</a></span>, <span class="author-span "> <a href="/author/jian-yang">Jian Yang</a></span>, <span class="author-span "> <a href="/author/shukai-liu">Shukai Liu</a></span>, <span class="author-span "> <a href="/author/he-zhu">He Zhu</a></span>, <span class="author-span "> <a href="/author/peng-zhao">Peng Zhao</a></span>, <span class="author-span "> <a href="/author/linzheng-chai">Linzheng Chai</a></span>, <span class="author-span "> <a href="/author/yanan-wu">Yanan Wu</a></span>, <span class="author-span "> <a href="/author/ke-jin">Ke Jin</a></span>, <span class="author-span "> <a href="/author/ge-zhang">Ge Zhang</a></span>, <span class="author-span "> <a href="/author/zekun-wang">Zekun Wang</a></span>, <span class="author-span "> <a href="/author/guoan-zhang">Guoan Zhang</a></span>, <span class="author-span "> <a href="/author/bangyu-xiang">Bangyu Xiang</a></span>, <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Besides, the existing benchmarks usually report overall average scores of different languages, where the fine-grained abilities in different completion scenarios are ignored.</p> <div class="sota"> </div> <p> <a href="/task/code-completion"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Code Completion</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/m2rc-eval-massively-multilingual-repository" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/m2rc-eval-massively-multilingual-repository#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/2d-dpo-scaling-direct-preference-optimization"> <div class="item-image" style="background-image: url('data:image/jpeg;base64,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');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/2d-dpo-scaling-direct-preference-optimization">2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/2d-dpo-scaling-direct-preference-optimization#code">no code implementations</a> • <span class="author-name-text item-date-pub">25 Oct 2024</span> • <span class="author-span "> <a href="/author/shilong-li">Shilong Li</a></span>, <span class="author-span "> <a href="/author/yancheng-he">Yancheng He</a></span>, <span class="author-span "> <a href="/author/hui-huang">Hui Huang</a></span>, <span class="author-span "> <a href="/author/xingyuan-bu">Xingyuan Bu</a></span>, <span class="author-span "> <a href="/author/jiaheng-liu">Jiaheng Liu</a></span>, <span class="author-span "> <a href="/author/hangyu-guo">Hangyu Guo</a></span>, <span class="author-span "> <a href="/author/weixun-wang">Weixun Wang</a></span>, <span class="author-span "> <a href="/author/jihao-gu">Jihao Gu</a></span>, <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Recent advancements in Direct Preference Optimization (DPO) have significantly enhanced the alignment of Large Language Models (LLMs) with human preferences, owing to its simplicity and effectiveness.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/2d-dpo-scaling-direct-preference-optimization" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/2d-dpo-scaling-direct-preference-optimization#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/mtu-bench-a-multi-granularity-tool-use"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/cea1df54-6e2c-4b0c-b235-55c08505a908.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/mtu-bench-a-multi-granularity-tool-use">MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/mtu-bench-a-multi-granularity-tool-use#code">1 code implementation</a> • <span class="author-name-text item-date-pub">15 Oct 2024</span> • <span class="author-span "> <a href="/author/pei-wang">Pei Wang</a></span>, <span class="author-span "> <a href="/author/yanan-wu">Yanan Wu</a></span>, <span class="author-span "> <a href="/author/zekun-wang">Zekun Wang</a></span>, <span class="author-span "> <a href="/author/jiaheng-liu">Jiaheng Liu</a></span>, <span class="author-span "> <a href="/author/xiaoshuai-song">Xiaoshuai Song</a></span>, <span class="author-span "> <a href="/author/zhongyuan-peng">Zhongyuan Peng</a></span>, <span class="author-span "> <a href="/author/ken-deng">Ken Deng</a></span>, <span class="author-span "> <a href="/author/chenchen-zhang">Chenchen Zhang</a></span>, <span class="author-span "> <a href="/author/jiakai-wang">Jiakai Wang</a></span>, <span class="author-span "> <a href="/author/junran-peng">Junran Peng</a></span>, <span class="author-span "> <a href="/author/ge-zhang">Ge Zhang</a></span>, <span class="author-span "> <a href="/author/hangyu-guo">Hangyu Guo</a></span>, <span class="author-span "> <a href="/author/zhaoxiang-zhang">Zhaoxiang Zhang</a></span>, <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Besides, all evaluation metrics of our MTU-Bench are based on the prediction results and the ground truth without using any GPT or human evaluation metrics.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 19</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/mtu-bench-a-multi-granularity-tool-use" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/mtu-bench-a-multi-granularity-tool-use#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/segment-long-text-processing-with-short">SEGMENT+: Long Text Processing with Short-Context Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/segment-long-text-processing-with-short#code">no code implementations</a> • <span class="author-name-text item-date-pub">9 Oct 2024</span> • <span class="author-span "> <a href="/author/wei-shi">Wei Shi</a></span>, <span class="author-span "> <a href="/author/shuang-li">Shuang Li</a></span>, <span class="author-span "> <a href="/author/kerun-yu">Kerun Yu</a></span>, <span class="author-span "> <a href="/author/jinglei-chen">Jinglei Chen</a></span>, <span class="author-span "> <a href="/author/zujie-liang">Zujie Liang</a></span>, <span class="author-span "> <a href="/author/xinhui-wu">Xinhui Wu</a></span>, <span class="author-span "> <a href="/author/yuxi-qian">Yuxi Qian</a></span>, <span class="author-span "> <a href="/author/feng-wei">Feng Wei</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/jiaqing-liang">Jiaqing Liang</a></span>, <span class="author-span "> <a href="/author/jiangjie-chen">Jiangjie Chen</a></span>, <span class="author-span "> <a href="/author/yanghua-xiao">Yanghua Xiao</a></span> </p> <p class="item-strip-abstract">There is a growing interest in expanding the input capacity of language models (LMs) across various domains.</p> <div class="sota"> </div> <p> <a href="/task/question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/56ae901a-265f-415f-b175-ce54133d648b.jpg"> <span>Question Answering</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/segment-long-text-processing-with-short" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/segment-long-text-processing-with-short#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/can-vlms-play-action-role-playing-games-take"> <div class="item-image" style="background-image: 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/can-vlms-play-action-role-playing-games-take">Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/can-vlms-play-action-role-playing-games-take#code">no code implementations</a> • <span class="author-name-text item-date-pub">19 Sep 2024</span> • <span class="author-span "> <a href="/author/peng-chen">Peng Chen</a></span>, <span class="author-span "> <a href="/author/pi-bu">Pi Bu</a></span>, <span class="author-span "> <a href="/author/jun-song">Jun Song</a></span>, <span class="author-span "> <a href="/author/yuan-gao">Yuan Gao</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">We define 12 tasks within the game, with 75% focusing on combat, and incorporate several state-of-the-art VLMs into this benchmark.</p> <div class="sota"> </div> <p> <a href="/task/large-language-model"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Large Language Model</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/can-vlms-play-action-role-playing-games-take" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/can-vlms-play-action-role-playing-games-take#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/qwen2-5-coder-technical-report"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/168ff264-e8a6-44a9-8faa-7be377dc2677.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/qwen2-5-coder-technical-report">Qwen2.5-Coder Technical Report</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/qwen2-5-coder-technical-report#code">2 code implementations</a> • <span class="author-name-text item-date-pub">18 Sep 2024</span> • <span class="author-span "> <a href="/author/binyuan-hui">Binyuan Hui</a></span>, <span class="author-span "> <a href="/author/jian-yang">Jian Yang</a></span>, <span class="author-span "> <a href="/author/zeyu-cui">Zeyu Cui</a></span>, <span class="author-span "> <a href="/author/jiaxi-yang">Jiaxi Yang</a></span>, <span class="author-span "> <a href="/author/dayiheng-liu">Dayiheng Liu</a></span>, <span class="author-span "> <a href="/author/lei-zhang">Lei Zhang</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/jiajun-zhang">Jiajun Zhang</a></span>, <span class="author-span "> <a href="/author/bowen-yu">Bowen Yu</a></span>, <span class="author-span "> <a href="/author/keming-lu">Keming Lu</a></span>, <span class="author-span "> <a href="/author/kai-dang">Kai Dang</a></span>, <span class="author-span "> <a href="/author/yang-fan">Yang Fan</a></span>, <span class="author-span "> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span "> <a href="/author/rui-men">Rui Men</a></span>, <span class="author-span "> <a href="/author/fei-huang">Fei Huang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/yibo-miao">Yibo Miao</a></span>, <span class="author-span "> <a href="/author/shanghaoran-quan">Shanghaoran Quan</a></span>, <span class="author-span "> <a href="/author/yunlong-feng">Yunlong Feng</a></span>, <span class="author-span "> <a href="/author/xingzhang-ren">Xingzhang Ren</a></span>, <span class="author-span "> <a href="/author/xuancheng-ren">Xuancheng Ren</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span> </p> <p class="item-strip-abstract">In this report, we introduce the Qwen2. 5-Coder series, a significant upgrade from its predecessor, CodeQwen1. 5.</p> <div class="sota"> </div> <p> <a href="/task/task"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span></span> </span> </a> <a href="/task/code-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/658fcf6a-52ca-4865-b111-28bf61c346dc.jpg"> <span>Code Generation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/qwen2-5-coder-technical-report#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 3,045</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/qwen2-5-coder-technical-report" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/qwen2-5-coder-technical-report#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/enhancing-taobao-display-advertising-with"> <div class="item-image" style="background-image: 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/enhancing-taobao-display-advertising-with">Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/enhancing-taobao-display-advertising-with#code">no code implementations</a> • <span class="author-name-text item-date-pub">28 Jul 2024</span> • <span class="author-span "> <a href="/author/xiang-rong-sheng">Xiang-Rong Sheng</a></span>, <span class="author-span "> <a href="/author/feifan-yang">Feifan Yang</a></span>, <span class="author-span "> <a href="/author/litong-gong">Litong Gong</a></span>, <span class="author-span "> <a href="/author/biao-wang">Biao Wang</a></span>, <span class="author-span "> <a href="/author/zhangming-chan">Zhangming Chan</a></span>, <span class="author-span "> <a href="/author/yujing-zhang">Yujing Zhang</a></span>, <span class="author-span "> <a href="/author/yueyao-cheng">Yueyao Cheng</a></span>, <span class="author-span "> <a href="/author/yong-nan-zhu">Yong-Nan Zhu</a></span>, <span class="author-span "> <a href="/author/tiezheng-ge">Tiezheng Ge</a></span>, <span class="author-span "> <a href="/author/han-zhu">Han Zhu</a></span>, <span class="author-span "> <a href="/author/yuning-jiang">Yuning Jiang</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Despite the recognized potential of multimodal data to improve model accuracy, many large-scale industrial recommendation systems, including Taobao display advertising system, predominantly depend on sparse ID features in their models.</p> <div class="sota"> </div> <p> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> <a href="/task/semantic-similarity"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Semantic Similarity</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/enhancing-taobao-display-advertising-with#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/enhancing-taobao-display-advertising-with" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 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url('data:image/jpeg;base64,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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/ddk-distilling-domain-knowledge-for-efficient">DDK: Distilling Domain Knowledge for Efficient Large Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/ddk-distilling-domain-knowledge-for-efficient#code">no code implementations</a> • <span class="author-name-text item-date-pub">23 Jul 2024</span> • <span class="author-span "> <a href="/author/jiaheng-liu">Jiaheng Liu</a></span>, <span class="author-span "> <a href="/author/chenchen-zhang">Chenchen Zhang</a></span>, <span class="author-span "> <a href="/author/jinyang-guo">Jinyang Guo</a></span>, <span class="author-span "> <a href="/author/yuanxing-zhang">Yuanxing Zhang</a></span>, <span class="author-span "> <a href="/author/haoran-que">Haoran Que</a></span>, <span class="author-span "> <a href="/author/ken-deng">Ken Deng</a></span>, <span class="author-span "> <a href="/author/zhiqi-bai">Zhiqi Bai</a></span>, <span class="author-span "> <a href="/author/jie-liu">Jie Liu</a></span>, <span class="author-span "> <a href="/author/ge-zhang">Ge Zhang</a></span>, <span class="author-span "> <a href="/author/jiakai-wang">Jiakai Wang</a></span>, <span class="author-span "> <a href="/author/yanan-wu">Yanan Wu</a></span>, <span class="author-span "> <a href="/author/congnan-liu">Congnan Liu</a></span>, <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span "> <a href="/author/jiamang-wang">Jiamang Wang</a></span>, <span class="author-span "> <a href="/author/lin-qu">Lin Qu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Despite the advanced intelligence abilities of large language models (LLMs) in various applications, they still face significant computational and storage demands.</p> <div class="sota"> </div> <p> <a href="/task/knowledge-distillation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Knowledge Distillation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/ddk-distilling-domain-knowledge-for-efficient" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/ddk-distilling-domain-knowledge-for-efficient#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/turbo-informativity-driven-acceleration-plug-1"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2407.11717.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/turbo-informativity-driven-acceleration-plug-1">Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/turbo-informativity-driven-acceleration-plug-1#code">no code implementations</a> • <span class="author-name-text item-date-pub">16 Jul 2024</span> • <span class="author-span "> <a href="/author/chen-ju">Chen Ju</a></span>, <span class="author-span "> <a href="/author/haicheng-wang">Haicheng Wang</a></span>, <span class="author-span "> <a href="/author/haozhe-cheng">Haozhe Cheng</a></span>, <span class="author-span "> <a href="/author/xu-chen">Xu Chen</a></span>, <span class="author-span "> <a href="/author/zhonghua-zhai">Zhonghua Zhai</a></span>, <span class="author-span "> <a href="/author/weilin-huang">Weilin Huang</a></span>, <span class="author-span "> <a href="/author/jinsong-lan">Jinsong Lan</a></span>, <span class="author-span "> <a href="/author/shuai-xiao">Shuai Xiao</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Vision-Language Large Models (VLMs) recently become primary backbone of AI, due to the impressive performance.</p> <div class="sota"> </div> <p> <a href="/task/quantization"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Quantization</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/turbo-informativity-driven-acceleration-plug-1" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/turbo-informativity-driven-acceleration-plug-1#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/qwen2-technical-report"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/1d801417-2c02-4dc9-a334-166c3bf82e6c.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/qwen2-technical-report">Qwen2 Technical Report</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/qwen2-technical-report#code">4 code implementations</a> • <span class="author-name-text item-date-pub">15 Jul 2024</span> • <span class="author-span "> <a href="/author/an-yang">An Yang</a></span>, <span class="author-span "> <a href="/author/baosong-yang">Baosong Yang</a></span>, <span class="author-span "> <a href="/author/binyuan-hui">Binyuan Hui</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/bowen-yu">Bowen Yu</a></span>, <span class="author-span "> <a href="/author/chang-zhou">Chang Zhou</a></span>, <span class="author-span "> <a href="/author/chengpeng-li">Chengpeng Li</a></span>, <span class="author-span "> <a href="/author/chengyuan-li">Chengyuan Li</a></span>, <span class="author-span "> <a href="/author/dayiheng-liu">Dayiheng Liu</a></span>, <span class="author-span "> <a href="/author/fei-huang">Fei Huang</a></span>, <span class="author-span "> <a href="/author/guanting-dong">Guanting Dong</a></span>, <span class="author-span "> <a href="/author/haoran-wei">Haoran Wei</a></span>, <span class="author-span "> <a href="/author/huan-lin">Huan Lin</a></span>, <span class="author-span "> <a href="/author/jialong-tang">Jialong Tang</a></span>, <span class="author-span "> <a href="/author/jialin-wang">Jialin Wang</a></span>, <span class="author-span "> <a href="/author/jian-yang">Jian Yang</a></span>, <span class="author-span "> <a href="/author/jianhong-tu">Jianhong Tu</a></span>, <span class="author-span "> <a href="/author/jianwei-zhang">Jianwei Zhang</a></span>, <span class="author-span "> <a href="/author/jianxin-ma">Jianxin Ma</a></span>, <span class="author-span "> <a href="/author/jianxin-yang">Jianxin Yang</a></span>, <span class="author-span "> <a href="/author/jin-xu">Jin Xu</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span>, <span class="author-span "> <a href="/author/jinze-bai">Jinze Bai</a></span>, <span class="author-span "> <a href="/author/jinzheng-he">Jinzheng He</a></span>, <span class="author-span "> <a href="/author/junyang-lin">Junyang Lin</a></span>, <span class="author-span "> <a href="/author/kai-dang">Kai Dang</a></span>, <span class="author-span "> <a href="/author/keming-lu">Keming Lu</a></span>, <span class="author-span "> <a href="/author/keqin-chen">Keqin Chen</a></span>, <span class="author-span "> <a href="/author/kexin-yang">Kexin Yang</a></span>, <span class="author-span "> <a href="/author/mei-li">Mei Li</a></span>, <span class="author-span "> <a href="/author/mingfeng-xue">Mingfeng Xue</a></span>, <span class="author-span "> <a href="/author/na-ni">Na Ni</a></span>, <span class="author-span "> <a href="/author/pei-zhang">Pei Zhang</a></span>, <span class="author-span "> <a href="/author/peng-wang">Peng Wang</a></span>, <span class="author-span "> <a href="/author/ru-peng">Ru Peng</a></span>, <span class="author-span "> <a href="/author/rui-men">Rui Men</a></span>, <span class="author-span "> <a href="/author/ruize-gao">Ruize Gao</a></span>, <span class="author-span "> <a href="/author/runji-lin">Runji Lin</a></span>, <span class="author-span "> <a href="/author/shijie-wang">Shijie Wang</a></span>, <span class="author-span "> <a href="/author/shuai-bai">Shuai Bai</a></span>, <span class="author-span "> <a href="/author/sinan-tan">Sinan Tan</a></span>, <span class="author-span "> <a href="/author/tianhang-zhu">Tianhang Zhu</a></span>, <span class="author-span "> <a href="/author/tianhao-li">TianHao Li</a></span>, <span class="author-span "> <a href="/author/tianyu-liu">Tianyu Liu</a></span>, <span class="author-span "> <a href="/author/wenbin-ge">Wenbin Ge</a></span>, <span class="author-span "> <a href="/author/xiaodong-deng">Xiaodong Deng</a></span>, <span class="author-span "> <a href="/author/xiaohuan-zhou">Xiaohuan Zhou</a></span>, <span class="author-span "> <a href="/author/xingzhang-ren">Xingzhang Ren</a></span>, <span class="author-span "> <a href="/author/xinyu-zhang">Xinyu Zhang</a></span>, <span class="author-span "> <a href="/author/xipin-wei">Xipin Wei</a></span>, <span class="author-span "> <a href="/author/xuancheng-ren">Xuancheng Ren</a></span>, <span class="author-span "> <a href="/author/xuejing-liu">Xuejing Liu</a></span>, <span class="author-span "> <a href="/author/yang-fan">Yang Fan</a></span>, <span class="author-span "> <a href="/author/yang-yao">Yang Yao</a></span>, <span class="author-span "> <a href="/author/yichang-zhang">Yichang Zhang</a></span>, <span class="author-span "> <a href="/author/yu-wan">Yu Wan</a></span>, <span class="author-span "> <a href="/author/yunfei-chu">Yunfei Chu</a></span>, <span class="author-span "> <a href="/author/yuqiong-liu">Yuqiong Liu</a></span>, <span class="author-span "> <a href="/author/zeyu-cui">Zeyu Cui</a></span>, <span class="author-span "> <a href="/author/zhenru-zhang">Zhenru Zhang</a></span>, <span class="author-span "> <a href="/author/zhifang-guo">Zhifang Guo</a></span>, <span class="author-span "> <a href="/author/zhihao-fan">Zhihao Fan</a></span> </p> <p class="item-strip-abstract">This report introduces the Qwen2 series, the latest addition to our large language models and large multimodal models.</p> <div class="sota"> <p> <a href="/sota/arithmetic-reasoning-on-gsm8k"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/arithmetic-reasoning-on-gsm8k-small_0420f672.png"/> </a>  Ranked #1 on <a class="sota-task" href="/sota/arithmetic-reasoning-on-gsm8k"> Arithmetic Reasoning on GSM8K </a> (using extra training data) </p> </div> <p> <a href="/task/arithmetic-reasoning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Arithmetic Reasoning</span> </span> </a> <a href="/task/gsm8k"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>GSM8K</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/qwen2-technical-report#tasks"> <span class="badge badge-primary"> <b>+5</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 9,922</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/qwen2-technical-report" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/qwen2-technical-report#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/deep-bag-of-words-model-an-efficient-and"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2407.09395.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/deep-bag-of-words-model-an-efficient-and">Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/deep-bag-of-words-model-an-efficient-and#code">no code implementations</a> • <span class="author-name-text item-date-pub">12 Jul 2024</span> • <span class="author-span "> <a href="/author/zhe-lin">Zhe Lin</a></span>, <span class="author-span "> <a href="/author/jiwei-tan">Jiwei Tan</a></span>, <span class="author-span "> <a href="/author/dan-ou">Dan Ou</a></span>, <span class="author-span "> <a href="/author/xi-chen">Xi Chen</a></span>, <span class="author-span "> <a href="/author/shaowei-yao">Shaowei Yao</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Text relevance or text matching of query and product is an essential technique for the e-commerce search system to ensure that the displayed products can match the intent of the query.</p> <div class="sota"> </div> <p> <a href="/task/computational-efficiency"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Computational Efficiency</span> </span> </a> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/deep-bag-of-words-model-an-efficient-and#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/deep-bag-of-words-model-an-efficient-and" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/deep-bag-of-words-model-an-efficient-and#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/graphreader-building-graph-based-agent-to"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2406.14550.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/graphreader-building-graph-based-agent-to">GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/graphreader-building-graph-based-agent-to#code">no code implementations</a> • <span class="author-name-text item-date-pub">20 Jun 2024</span> • <span class="author-span "> <a href="/author/shilong-li">Shilong Li</a></span>, <span class="author-span "> <a href="/author/yancheng-he">Yancheng He</a></span>, <span class="author-span "> <a href="/author/hangyu-guo">Hangyu Guo</a></span>, <span class="author-span "> <a href="/author/xingyuan-bu">Xingyuan Bu</a></span>, <span class="author-span "> <a href="/author/ge-bai">Ge Bai</a></span>, <span class="author-span "> <a href="/author/jie-liu">Jie Liu</a></span>, <span class="author-span "> <a href="/author/jiaheng-liu">Jiaheng Liu</a></span>, <span class="author-span "> <a href="/author/xingwei-qu">Xingwei Qu</a></span>, <span class="author-span "> <a href="/author/yangguang-li">Yangguang Li</a></span>, <span class="author-span "> <a href="/author/wanli-ouyang">Wanli Ouyang</a></span>, <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Long-context capabilities are essential for large language models (LLMs) to tackle complex and long-input tasks.</p> <div class="sota"> </div> <p> <a href="/task/16k"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>16k</span> </span> </a> <a href="/task/4k"> <span class="badge badge-primary"> <img 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data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/geogpt4v-towards-geometric-multi-modal-large"> <div class="item-image" style="background-image: 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/geogpt4v-towards-geometric-multi-modal-large">GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/geogpt4v-towards-geometric-multi-modal-large#code">1 code implementation</a> • <span class="author-name-text item-date-pub">17 Jun 2024</span> • <span class="author-span "> <a href="/author/shihao-cai">Shihao Cai</a></span>, <span class="author-span "> <a href="/author/keqin-bao">Keqin Bao</a></span>, <span class="author-span "> <a href="/author/hangyu-guo">Hangyu Guo</a></span>, <span class="author-span "> <a href="/author/jizhi-zhang">Jizhi Zhang</a></span>, <span class="author-span "> <a href="/author/jun-song">Jun Song</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">To overcome this issue, we introduce a novel pipeline that leverages GPT-4 and GPT-4V to generate relatively basic geometry problems with aligned text and images, facilitating model learning.</p> <div class="sota"> </div> <p> <a href="/task/image-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/5ac09bd9-8785-4253-8cf4-4412dcd36426.jpg"> <span>Image Generation</span> </span> </a> <a href="/task/math"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Math</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 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d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/d-cpt-law-domain-specific-continual-pre"> <div class="item-image" style="background-image: 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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/d-cpt-law-domain-specific-continual-pre">D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/d-cpt-law-domain-specific-continual-pre#code">no code implementations</a> • <span class="author-name-text item-date-pub">3 Jun 2024</span> • <span class="author-span "> <a href="/author/haoran-que">Haoran Que</a></span>, <span class="author-span "> <a href="/author/jiaheng-liu">Jiaheng Liu</a></span>, <span class="author-span "> <a href="/author/ge-zhang">Ge Zhang</a></span>, <span class="author-span "> <a href="/author/chenchen-zhang">Chenchen Zhang</a></span>, <span class="author-span "> <a href="/author/xingwei-qu">Xingwei Qu</a></span>, <span class="author-span "> <a href="/author/yinghao-ma">Yinghao Ma</a></span>, <span class="author-span "> <a href="/author/feiyu-duan">Feiyu Duan</a></span>, <span class="author-span "> <a href="/author/zhiqi-bai">Zhiqi Bai</a></span>, <span class="author-span "> <a href="/author/jiakai-wang">Jiakai Wang</a></span>, <span class="author-span "> <a href="/author/yuanxing-zhang">Yuanxing Zhang</a></span>, <span class="author-span "> <a href="/author/xu-tan">Xu Tan</a></span>, <span class="author-span "> <a href="/author/jie-fu">Jie Fu</a></span>, <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span "> <a href="/author/jiamang-wang">Jiamang Wang</a></span>, <span class="author-span "> <a href="/author/lin-qu">Lin Qu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">To address the limitations of existing methods, inspired by the Scaling Law for performance prediction, we propose to investigate the Scaling Law of the Domain-specific Continual Pre-Training (D-CPT Law) to decide the optimal mixture ratio with acceptable training costs for LLMs of different sizes.</p> <div class="sota"> </div> <p> <a href="/task/math"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Math</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/d-cpt-law-domain-specific-continual-pre" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/d-cpt-law-domain-specific-continual-pre#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/r2c2-coder-enhancing-and-benchmarking-real"> <div class="item-image" style="background-image: url('data:image/jpeg;base64,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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/r2c2-coder-enhancing-and-benchmarking-real">R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/r2c2-coder-enhancing-and-benchmarking-real#code">no code implementations</a> • <span class="author-name-text item-date-pub">3 Jun 2024</span> • <span class="author-span "> <a href="/author/ken-deng">Ken Deng</a></span>, <span class="author-span "> <a href="/author/jiaheng-liu">Jiaheng Liu</a></span>, <span class="author-span "> <a href="/author/he-zhu">He Zhu</a></span>, <span class="author-span "> <a href="/author/congnan-liu">Congnan Liu</a></span>, <span class="author-span "> <a href="/author/jingxin-li">Jingxin Li</a></span>, <span class="author-span "> <a href="/author/jiakai-wang">Jiakai Wang</a></span>, <span class="author-span "> <a href="/author/peng-zhao">Peng Zhao</a></span>, <span class="author-span "> <a href="/author/chenchen-zhang">Chenchen Zhang</a></span>, <span class="author-span "> <a href="/author/yanan-wu">Yanan Wu</a></span>, <span class="author-span "> <a href="/author/xueqiao-yin">Xueqiao Yin</a></span>, <span class="author-span "> <a href="/author/yuanxing-zhang">Yuanxing Zhang</a></span>, <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span "> <a href="/author/bangyu-xiang">Bangyu Xiang</a></span>, <span class="author-span "> <a href="/author/tiezheng-ge">Tiezheng Ge</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Code completion models have made significant progress in recent years.</p> <div class="sota"> </div> <p> <a href="/task/benchmarking"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Benchmarking</span> </span> </a> <a href="/task/code-completion"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Code Completion</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/r2c2-coder-enhancing-and-benchmarking-real#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/r2c2-coder-enhancing-and-benchmarking-real" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/r2c2-coder-enhancing-and-benchmarking-real#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/demystify-mamba-in-vision-a-linear-attention"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/fe2cb99e-9cae-4149-939a-c28255840e05.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/demystify-mamba-in-vision-a-linear-attention">Demystify Mamba in Vision: A Linear Attention Perspective</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/demystify-mamba-in-vision-a-linear-attention#code">1 code implementation</a> • <span class="author-name-text item-date-pub">26 May 2024</span> • <span class="author-span "> <a href="/author/dongchen-han">Dongchen Han</a></span>, <span class="author-span "> <a href="/author/ziyi-wang">Ziyi Wang</a></span>, <span class="author-span "> <a href="/author/zhuofan-xia">Zhuofan Xia</a></span>, <span class="author-span "> <a href="/author/yizeng-han">Yizeng Han</a></span>, <span class="author-span "> <a href="/author/yifan-pu">Yifan Pu</a></span>, <span class="author-span "> <a href="/author/chunjiang-ge">Chunjiang Ge</a></span>, <span class="author-span "> <a href="/author/jun-song">Jun Song</a></span>, <span class="author-span "> <a href="/author/shiji-song">Shiji Song</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/gao-huang">Gao Huang</a></span> </p> <p class="item-strip-abstract">By exploring the similarities and disparities between the effective Mamba and subpar linear attention Transformer, we provide comprehensive analyses to demystify the key factors behind Mamba's success.</p> <div class="sota"> </div> <p> <a href="/task/image-classification"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/7a146e71-bbf8-4137-bf25-a3618bd043a0.jpg"> <span>Image Classification</span> </span> </a> <a href="/task/mamba"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Mamba</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 216</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/demystify-mamba-in-vision-a-linear-attention" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/demystify-mamba-in-vision-a-linear-attention#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/aigb-generative-auto-bidding-via-diffusion"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2405.16141.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/aigb-generative-auto-bidding-via-diffusion">AIGB: Generative Auto-bidding via Conditional Diffusion Modeling</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/aigb-generative-auto-bidding-via-diffusion#code">no code implementations</a> • <span class="author-name-text item-date-pub">25 May 2024</span> • <span class="author-span "> <a href="/author/jiayan-guo">Jiayan Guo</a></span>, <span class="author-span "> <a href="/author/yusen-huo">Yusen Huo</a></span>, <span class="author-span "> <a href="/author/zhilin-zhang">Zhilin Zhang</a></span>, <span class="author-span "> <a href="/author/tianyu-wang">Tianyu Wang</a></span>, <span class="author-span "> <a href="/author/chuan-yu">Chuan Yu</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span "> <a href="/author/yan-zhang">Yan Zhang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Auto-bidding plays a crucial role in facilitating online advertising by automatically providing bids for advertisers.</p> <div class="sota"> </div> <p> <a href="/task/reinforcement-learning-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Reinforcement Learning (RL)</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/aigb-generative-auto-bidding-via-diffusion" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/aigb-generative-auto-bidding-via-diffusion#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/convllava-hierarchical-backbones-as-visual"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/3898ce90-37e2-4f17-9121-5bc231a58c71.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/convllava-hierarchical-backbones-as-visual">ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/convllava-hierarchical-backbones-as-visual#code">1 code implementation</a> • <span class="author-name-text item-date-pub">24 May 2024</span> • <span class="author-span "> <a href="/author/chunjiang-ge">Chunjiang Ge</a></span>, <span class="author-span "> <a href="/author/sijie-cheng">Sijie Cheng</a></span>, <span class="author-span "> <a href="/author/ziming-wang">ZiMing Wang</a></span>, <span class="author-span "> <a href="/author/jiale-yuan">Jiale Yuan</a></span>, <span class="author-span "> <a href="/author/yuan-gao">Yuan Gao</a></span>, <span class="author-span "> <a href="/author/jun-song">Jun Song</a></span>, <span class="author-span "> <a href="/author/shiji-song">Shiji Song</a></span>, <span class="author-span "> <a href="/author/gao-huang">Gao Huang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">To enhance the capabilities of ConvLLaVA, we propose two critical optimizations.</p> <div class="sota"> <p> <a href="/sota/visual-question-answering-on-mm-vet"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/visual-question-answering-on-mm-vet-small_b02e3152.png"/> </a> Ranked #57 on <a href="/sota/visual-question-answering-on-mm-vet"> Visual Question Answering on MM-Vet </a> </p> </div> <p> <a href="/task/visual-question-answering-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Visual Question Answering</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 105</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/convllava-hierarchical-backbones-as-visual" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/convllava-hierarchical-backbones-as-visual#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/safety-alignment-for-vision-language-models"> <div class="item-image" style="background-image: url('data:image/jpeg;base64,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');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/safety-alignment-for-vision-language-models">Safety Alignment for Vision Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/safety-alignment-for-vision-language-models#code">no code implementations</a> • <span class="author-name-text item-date-pub">22 May 2024</span> • <span class="author-span "> <a href="/author/zhendong-liu">Zhendong Liu</a></span>, <span class="author-span "> <a href="/author/yuanbi-nie">Yuanbi Nie</a></span>, <span class="author-span "> <a href="/author/yingshui-tan">Yingshui Tan</a></span>, <span class="author-span "> <a href="/author/xiangyu-yue">Xiangyu Yue</a></span>, <span class="author-span "> <a href="/author/qiushi-cui">Qiushi Cui</a></span>, <span class="author-span "> <a href="/author/chongjun-wang">Chongjun Wang</a></span>, <span class="author-span "> <a href="/author/xiaoyong-zhu">Xiaoyong Zhu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">To address this issue, we enhance the existing VLMs' visual modality safety alignment by adding safety modules, including a safety projector, safety tokens, and a safety head, through a two-stage training process, effectively improving the model's defense against risky images.</p> <div class="sota"> </div> <p> <a href="/task/safety-alignment"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Safety Alignment</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/safety-alignment-for-vision-language-models" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/safety-alignment-for-vision-language-models#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/enhancing-prompt-following-with-visual"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2404.14768.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/enhancing-prompt-following-with-visual">Enhancing Prompt Following with Visual Control Through Training-Free Mask-Guided Diffusion</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/enhancing-prompt-following-with-visual#code">no code implementations</a> • <span class="author-name-text item-date-pub">23 Apr 2024</span> • <span class="author-span "> <a href="/author/hongyu-chen">Hongyu Chen</a></span>, <span class="author-span "> <a href="/author/yiqi-gao">Yiqi Gao</a></span>, <span class="author-span "> <a href="/author/min-zhou">Min Zhou</a></span>, <span class="author-span "> <a href="/author/peng-wang">Peng Wang</a></span>, <span class="author-span "> <a href="/author/xubin-li">Xubin Li</a></span>, <span class="author-span "> <a href="/author/tiezheng-ge">Tiezheng Ge</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Meanwhile, a network, dubbed as Masked ControlNet, is designed to utilize these object masks for object generation in the misaligned visual control region.</p> <div class="sota"> </div> <p> <a href="/task/attribute"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Attribute</span> </span> </a> <a href="/task/object"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Object</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/enhancing-prompt-following-with-visual" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/enhancing-prompt-following-with-visual#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/accelerating-image-generation-with-sub-path"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2404.13903.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/accelerating-image-generation-with-sub-path">Accelerating Image Generation with Sub-path Linear Approximation Model</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/accelerating-image-generation-with-sub-path#code">no code implementations</a> • <span class="author-name-text item-date-pub">22 Apr 2024</span> • <span class="author-span "> <a href="/author/chen-xu">Chen Xu</a></span>, <span class="author-span "> <a href="/author/tianhui-song">Tianhui Song</a></span>, <span class="author-span "> <a href="/author/weixin-feng">Weixin Feng</a></span>, <span class="author-span "> <a href="/author/xubin-li">Xubin Li</a></span>, <span class="author-span "> <a href="/author/tiezheng-ge">Tiezheng Ge</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/limin-wang">LiMin Wang</a></span> </p> <p class="item-strip-abstract">Diffusion models have significantly advanced the state of the art in image, audio, and video generation tasks.</p> <div class="sota"> </div> <p> <a href="/task/denoising"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/6c4d53f8-9c6d-47c8-80c7-1b8e1c0a7d42.jpg"> <span>Denoising</span> </span> </a> <a href="/task/image-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/5ac09bd9-8785-4253-8cf4-4412dcd36426.jpg"> <span>Image Generation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/accelerating-image-generation-with-sub-path#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/accelerating-image-generation-with-sub-path" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/accelerating-image-generation-with-sub-path#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/rhands-refining-malformed-hands-for-generated"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2404.13984.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/rhands-refining-malformed-hands-for-generated">RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/rhands-refining-malformed-hands-for-generated#code">no code implementations</a> • <span class="author-name-text item-date-pub">22 Apr 2024</span> • <span class="author-span "> <a href="/author/chengrui-wang">Chengrui Wang</a></span>, <span class="author-span "> <a href="/author/pengfei-liu-1">PengFei Liu</a></span>, <span class="author-span "> <a href="/author/min-zhou">Min Zhou</a></span>, <span class="author-span "> <a href="/author/ming-zeng">Ming Zeng</a></span>, <span class="author-span "> <a href="/author/xubin-li">Xubin Li</a></span>, <span class="author-span "> <a href="/author/tiezheng-ge">Tiezheng Ge</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">The style guidance is a hand image, e. g., the malformed hand itself, and is employed to furnish the style reference for hand refining.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/rhands-refining-malformed-hands-for-generated" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/rhands-refining-malformed-hands-for-generated#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/timecsl-unsupervised-contrastive-learning-of"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2404.05057.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/timecsl-unsupervised-contrastive-learning-of">TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/timecsl-unsupervised-contrastive-learning-of#code">no code implementations</a> • <span class="author-name-text item-date-pub">7 Apr 2024</span> • <span class="author-span "> <a href="/author/zhiyu-liang">Zhiyu Liang</a></span>, <span class="author-span "> <a href="/author/chen-liang">Chen Liang</a></span>, <span class="author-span "> <a href="/author/zheng-liang">Zheng Liang</a></span>, <span class="author-span "> <a href="/author/hongzhi-wang">Hongzhi Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Unsupervised (a. k. a.</p> <div class="sota"> </div> <p> <a href="/task/anomaly-detection"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/e00767d1-66de-4410-adac-a7efd0e00f60.jpg"> <span>Anomaly Detection</span> </span> </a> <a href="/task/contrastive-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/a2dca842-c6b6-4209-b2a8-dffeac2ef283.jpg"> <span>Contrastive Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/timecsl-unsupervised-contrastive-learning-of#tasks"> <span class="badge badge-primary"> <b>+4</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/timecsl-unsupervised-contrastive-learning-of" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/timecsl-unsupervised-contrastive-learning-of#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/dr-hair-reconstructing-scalp-connected-hair"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2403.17496.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/dr-hair-reconstructing-scalp-connected-hair">Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-training via Differentiable Rendering of Line Segments</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/dr-hair-reconstructing-scalp-connected-hair#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/cvpr-2024-1"> CVPR 2024 </a> </span> • <span class="author-span "> <a href="/author/yusuke-takimoto">Yusuke Takimoto</a></span>, <span class="author-span "> <a href="/author/hikari-takehara">Hikari Takehara</a></span>, <span class="author-span "> <a href="/author/hiroyuki-sato">Hiroyuki Sato</a></span>, <span class="author-span "> <a href="/author/zihao-zhu">Zihao Zhu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In the film and gaming industries, achieving a realistic hair appearance typically involves the use of strands originating from the scalp.</p> <div class="sota"> </div> <p> <a href="/task/inverse-rendering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Inverse Rendering</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/dr-hair-reconstructing-scalp-connected-hair" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/dr-hair-reconstructing-scalp-connected-hair#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/metasplit-meta-split-network-for-limited"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2403.06747.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/metasplit-meta-split-network-for-limited">MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/metasplit-meta-split-network-for-limited#code">no code implementations</a> • <span class="author-name-text item-date-pub">11 Mar 2024</span> • <span class="author-span "> <a href="/author/wenhao-wu">Wenhao Wu</a></span>, <span class="author-span "> <a href="/author/jialiang-zhou">Jialiang Zhou</a></span>, <span class="author-span "> <a href="/author/ailong-he">Ailong He</a></span>, <span class="author-span "> <a href="/author/shuguang-han">Shuguang Han</a></span>, <span class="author-span "> <a href="/author/jufeng-chen">Jufeng Chen</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Due to limited user interactions for each product (i. e. item), the corresponding item embedding in the CTR model may not easily converge.</p> <div class="sota"> </div> <p> <a href="/task/click-through-rate-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000029-2f4f416c.jpg"> <span>Click-Through Rate Prediction</span> </span> </a> <a href="/task/meta-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001088-6b0b3a7f_0bh9941.jpg"> <span>Meta-Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/metasplit-meta-split-network-for-limited#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/metasplit-meta-split-network-for-limited" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/metasplit-meta-split-network-for-limited#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/mebs-multi-task-end-to-end-bid-shading-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2403.02607.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/mebs-multi-task-end-to-end-bid-shading-for">MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/mebs-multi-task-end-to-end-bid-shading-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">5 Mar 2024</span> • <span class="author-span "> <a href="/author/zhen-gong">Zhen Gong</a></span>, <span class="author-span "> <a href="/author/lvyin-niu">Lvyin Niu</a></span>, <span class="author-span "> <a href="/author/yang-zhao">Yang Zhao</a></span>, <span class="author-span "> <a href="/author/miao-xu">Miao Xu</a></span>, <span class="author-span "> <a href="/author/zhenzhe-zheng">Zhenzhe Zheng</a></span>, <span class="author-span "> <a href="/author/haoqi-zhang">Haoqi Zhang</a></span>, <span class="author-span "> <a href="/author/zhilin-zhang">Zhilin Zhang</a></span>, <span class="author-span "> <a href="/author/fan-wu">Fan Wu</a></span>, <span class="author-span "> <a href="/author/rongquan-bai">Rongquan Bai</a></span>, <span class="author-span "> <a href="/author/chuan-yu">Chuan Yu</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Through extensive offline and online experiments, we demonstrate the effectiveness and efficiency of our method, and we obtain a 7. 01% lift in Gross Merchandise Volume, a 7. 42% lift in Return on Investment, and a 3. 26% lift in ad buy count.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/mebs-multi-task-end-to-end-bid-shading-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/mebs-multi-task-end-to-end-bid-shading-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/tuning-free-noise-rectification-for-high"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2403.02827.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/tuning-free-noise-rectification-for-high">Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/tuning-free-noise-rectification-for-high#code">no code implementations</a> • <span class="author-name-text item-date-pub">5 Mar 2024</span> • <span class="author-span "> <a href="/author/weijie-li">Weijie Li</a></span>, <span class="author-span "> <a href="/author/litong-gong">Litong Gong</a></span>, <span class="author-span "> <a href="/author/yiran-zhu">Yiran Zhu</a></span>, <span class="author-span "> <a href="/author/fanda-fan">Fanda Fan</a></span>, <span class="author-span "> <a href="/author/biao-wang">Biao Wang</a></span>, <span class="author-span "> <a href="/author/tiezheng-ge">Tiezheng Ge</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">The experimental results demonstrate the effectiveness of our approach in improving the fidelity of generated videos.</p> <div class="sota"> </div> <p> <a href="/task/denoising"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/6c4d53f8-9c6d-47c8-80c7-1b8e1c0a7d42.jpg"> <span>Denoising</span> </span> </a> <a href="/task/image-animation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Image Animation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/tuning-free-noise-rectification-for-high#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/tuning-free-noise-rectification-for-high" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/tuning-free-noise-rectification-for-high#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/atomovideo-high-fidelity-image-to-video"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2403.01800.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/atomovideo-high-fidelity-image-to-video">AtomoVideo: High Fidelity Image-to-Video Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/atomovideo-high-fidelity-image-to-video#code">no code implementations</a> • <span class="author-name-text item-date-pub">4 Mar 2024</span> • <span class="author-span "> <a href="/author/litong-gong">Litong Gong</a></span>, <span class="author-span "> <a href="/author/yiran-zhu">Yiran Zhu</a></span>, <span class="author-span "> <a href="/author/weijie-li">Weijie Li</a></span>, <span class="author-span "> <a href="/author/xiaoyang-kang">Xiaoyang Kang</a></span>, <span class="author-span "> <a href="/author/biao-wang">Biao Wang</a></span>, <span class="author-span "> <a href="/author/tiezheng-ge">Tiezheng Ge</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Recently, video generation has achieved significant rapid development based on superior text-to-image generation techniques.</p> <div class="sota"> </div> <p> <a href="/task/image-to-video"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Image to Video Generation</span> </span> </a> <a href="/task/text-to-image-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/47fa71ad-77b3-4e24-933f-8a6e00fc3767.jpg"> <span>Text-to-Image Generation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/atomovideo-high-fidelity-image-to-video" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/atomovideo-high-fidelity-image-to-video#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/making-pre-trained-language-models-great-on"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2403.01841.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/making-pre-trained-language-models-great-on">Making Pre-trained Language Models Great on Tabular Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/making-pre-trained-language-models-great-on#code">1 code implementation</a> • <span class="author-name-text item-date-pub">4 Mar 2024</span> • <span class="author-span "> <a href="/author/jiahuan-yan">Jiahuan Yan</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/hongxia-xu">Hongxia Xu</a></span>, <span class="author-span "> <a href="/author/yiheng-zhu">Yiheng Zhu</a></span>, <span class="author-span "> <a href="/author/danny-z-chen">Danny Z. Chen</a></span>, <span class="author-span "> <a href="/author/jimeng-sun">Jimeng Sun</a></span>, <span class="author-span "> <a href="/author/jian-wu">Jian Wu</a></span>, <span class="author-span "> <a href="/author/jintai-chen">Jintai Chen</a></span> </p> <p class="item-strip-abstract">Condensing knowledge from diverse domains, language models (LMs) possess the capability to comprehend feature names from various tables, potentially serving as versatile learners in transferring knowledge across distinct tables and diverse prediction tasks, but their discrete text representation space is inherently incompatible with numerical feature values in tables.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 50</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/making-pre-trained-language-models-great-on" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/making-pre-trained-language-models-great-on#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/serval-synergy-learning-between-vertical"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2403.01570.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/serval-synergy-learning-between-vertical">SERVAL: Synergy Learning between Vertical Models and LLMs towards Oracle-Level Zero-shot Medical Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/serval-synergy-learning-between-vertical#code">no code implementations</a> • <span class="author-name-text item-date-pub">3 Mar 2024</span> • <span class="author-span "> <a href="/author/jiahuan-yan">Jiahuan Yan</a></span>, <span class="author-span "> <a href="/author/jintai-chen">Jintai Chen</a></span>, <span class="author-span "> <a href="/author/chaowen-hu">Chaowen Hu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/yaojun-hu">Yaojun Hu</a></span>, <span class="author-span "> <a href="/author/jimeng-sun">Jimeng Sun</a></span>, <span class="author-span "> <a href="/author/jian-wu">Jian Wu</a></span> </p> <p class="item-strip-abstract">Recent development of large language models (LLMs) has exhibited impressive zero-shot proficiency on generic and common sense questions.</p> <div class="sota"> </div> <p> <a href="/task/common-sense-reasoning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Common Sense Reasoning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/serval-synergy-learning-between-vertical" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/serval-synergy-learning-between-vertical#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/conceptmath-a-bilingual-concept-wise"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/93fb2e03-7179-4f55-a62f-63f98e1a8935.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/conceptmath-a-bilingual-concept-wise">ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/conceptmath-a-bilingual-concept-wise#code">1 code implementation</a> • <span class="author-name-text item-date-pub">22 Feb 2024</span> • <span class="author-span "> <a href="/author/yanan-wu">Yanan Wu</a></span>, <span class="author-span "> <a href="/author/jie-liu">Jie Liu</a></span>, <span class="author-span "> <a href="/author/xingyuan-bu">Xingyuan Bu</a></span>, <span class="author-span "> <a href="/author/jiaheng-liu">Jiaheng Liu</a></span>, <span class="author-span "> <a href="/author/zhanhui-zhou">Zhanhui Zhou</a></span>, <span class="author-span "> <a href="/author/yuanxing-zhang">Yuanxing Zhang</a></span>, <span class="author-span "> <a href="/author/chenchen-zhang">Chenchen Zhang</a></span>, <span class="author-span "> <a href="/author/zhiqi-bai">Zhiqi Bai</a></span>, <span class="author-span "> <a href="/author/haibin-chen">Haibin Chen</a></span>, <span class="author-span "> <a href="/author/tiezheng-ge">Tiezheng Ge</a></span>, <span class="author-span "> <a href="/author/wanli-ouyang">Wanli Ouyang</a></span>, <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">This paper introduces ConceptMath, a bilingual (English and Chinese), fine-grained benchmark that evaluates concept-wise mathematical reasoning of Large Language Models (LLMs).</p> <div class="sota"> </div> <p> <a href="/task/math"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Math</span> </span> </a> <a href="/task/mathematical-reasoning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Mathematical Reasoning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 20</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/conceptmath-a-bilingual-concept-wise" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/conceptmath-a-bilingual-concept-wise#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/mt-bench-101-a-fine-grained-benchmark-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/640921aa-5711-46b8-9660-a447fd171333.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/mt-bench-101-a-fine-grained-benchmark-for">MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/mt-bench-101-a-fine-grained-benchmark-for#code">1 code implementation</a> • <span class="author-name-text item-date-pub">22 Feb 2024</span> • <span class="author-span "> <a href="/author/ge-bai">Ge Bai</a></span>, <span class="author-span "> <a href="/author/jie-liu">Jie Liu</a></span>, <span class="author-span "> <a href="/author/xingyuan-bu">Xingyuan Bu</a></span>, <span class="author-span "> <a href="/author/yancheng-he">Yancheng He</a></span>, <span class="author-span "> <a href="/author/jiaheng-liu">Jiaheng Liu</a></span>, <span class="author-span "> <a href="/author/zhanhui-zhou">Zhanhui Zhou</a></span>, <span class="author-span "> <a href="/author/zhuoran-lin">Zhuoran Lin</a></span>, <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span "> <a href="/author/tiezheng-ge">Tiezheng Ge</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/wanli-ouyang">Wanli Ouyang</a></span> </p> <p class="item-strip-abstract">By conducting a detailed analysis of real multi-turn dialogue data, we construct a three-tier hierarchical ability taxonomy comprising 4208 turns across 1388 multi-turn dialogues in 13 distinct tasks.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 51</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/mt-bench-101-a-fine-grained-benchmark-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/mt-bench-101-a-fine-grained-benchmark-for#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/scalable-virtual-valuations-combinatorial"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2402.11904.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/scalable-virtual-valuations-combinatorial">Automated Deterministic Auction Design with Objective Decomposition</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/scalable-virtual-valuations-combinatorial#code">no code implementations</a> • <span class="author-name-text item-date-pub">19 Feb 2024</span> • <span class="author-span "> <a href="/author/zhijian-duan">Zhijian Duan</a></span>, <span class="author-span "> <a href="/author/haoran-sun">Haoran Sun</a></span>, <span class="author-span "> <a href="/author/yichong-xia">Yichong Xia</a></span>, <span class="author-span "> <a href="/author/siqiang-wang">Siqiang Wang</a></span>, <span class="author-span "> <a href="/author/zhilin-zhang">Zhilin Zhang</a></span>, <span class="author-span "> <a href="/author/chuan-yu">Chuan Yu</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/xiaotie-deng">Xiaotie Deng</a></span> </p> <p class="item-strip-abstract">Identifying high-revenue mechanisms that are both dominant strategy incentive compatible (DSIC) and individually rational (IR) is a fundamental challenge in auction design.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/scalable-virtual-valuations-combinatorial" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/scalable-virtual-valuations-combinatorial#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/e-2-llm-efficient-and-extreme-length"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2401.06951.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/e-2-llm-efficient-and-extreme-length">E^2-LLM: Efficient and Extreme Length Extension of Large Language Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/e-2-llm-efficient-and-extreme-length#code">no code implementations</a> • <span class="author-name-text item-date-pub">13 Jan 2024</span> • <span class="author-span "> <a href="/author/jiaheng-liu">Jiaheng Liu</a></span>, <span class="author-span "> <a href="/author/zhiqi-bai">Zhiqi Bai</a></span>, <span class="author-span "> <a href="/author/yuanxing-zhang">Yuanxing Zhang</a></span>, <span class="author-span "> <a href="/author/chenchen-zhang">Chenchen Zhang</a></span>, <span class="author-span "> <a href="/author/yu-zhang">Yu Zhang</a></span>, <span class="author-span "> <a href="/author/ge-zhang">Ge Zhang</a></span>, <span class="author-span "> <a href="/author/jiakai-wang">Jiakai Wang</a></span>, <span class="author-span "> <a href="/author/haoran-que">Haoran Que</a></span>, <span class="author-span "> <a href="/author/yukang-chen">Yukang Chen</a></span>, <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span "> <a href="/author/tiezheng-ge">Tiezheng Ge</a></span>, <span class="author-span "> <a href="/author/jie-fu">Jie Fu</a></span>, <span class="author-span "> <a href="/author/wenhu-chen">Wenhu Chen</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Typically, training LLMs with long context sizes is computationally expensive, requiring extensive training hours and GPU resources.</p> <div class="sota"> </div> <p> <a href="/task/4k"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>4k</span> </span> </a> <a href="/task/position"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Position</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/e-2-llm-efficient-and-extreme-length" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/e-2-llm-efficient-and-extreme-length#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/emage-towards-unified-holistic-co-speech"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/e54f631a-7807-4aa5-bd25-57197769f7bc.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/emage-towards-unified-holistic-co-speech">EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/emage-towards-unified-holistic-co-speech#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/cvpr-2024-1"> CVPR 2024 </a> </span> • <span class="author-span "> <a href="/author/haiyang-liu">Haiyang Liu</a></span>, <span class="author-span "> <a href="/author/zihao-zhu">Zihao Zhu</a></span>, <span class="author-span "> <a href="/author/giorgio-becherini">Giorgio Becherini</a></span>, <span class="author-span "> <a href="/author/yichen-peng">Yichen Peng</a></span>, <span class="author-span "> <a href="/author/mingyang-su">Mingyang Su</a></span>, <span class="author-span "> <a href="/author/you-zhou">You Zhou</a></span>, <span class="author-span "> <a href="/author/xuefei-zhe">Xuefei Zhe</a></span>, <span class="author-span "> <a href="/author/naoya-iwamoto">Naoya Iwamoto</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/michael-j-black-1">Michael J. Black</a></span> </p> <p class="item-strip-abstract">We propose EMAGE, a framework to generate full-body human gestures from audio and masked gestures, encompassing facial, local body, hands, and global movements.</p> <div class="sota"> <p> <a href="/sota/3d-face-animation-on-beat2"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/3d-face-animation-on-beat2-small_58856fa9.png"/> </a>  Ranked #1 on <a class="sota-task" href="/sota/3d-face-animation-on-beat2"> 3D Face Animation on BEAT2 </a> </p> </div> <p> <a href="/task/3d-face-animation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001498-5eecfa90_FoGaUhM.jpg"> <span>3D Face Animation</span> </span> </a> <a href="/task/diversity"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Diversity</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/emage-towards-unified-holistic-co-speech#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 997</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/emage-towards-unified-holistic-co-speech" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/emage-towards-unified-holistic-co-speech#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/calibration-compatible-listwise-distillation"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2312.08727.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/calibration-compatible-listwise-distillation">Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/calibration-compatible-listwise-distillation#code">no code implementations</a> • <span class="author-name-text item-date-pub">14 Dec 2023</span> • <span class="author-span "> <a href="/author/xiaoqiang-gui">Xiaoqiang Gui</a></span>, <span class="author-span "> <a href="/author/yueyao-cheng">Yueyao Cheng</a></span>, <span class="author-span "> <a href="/author/xiang-rong-sheng">Xiang-Rong Sheng</a></span>, <span class="author-span "> <a href="/author/yunfeng-zhao">Yunfeng Zhao</a></span>, <span class="author-span "> <a href="/author/guoxian-yu">Guoxian Yu</a></span>, <span class="author-span "> <a href="/author/shuguang-han">Shuguang Han</a></span>, <span class="author-span "> <a href="/author/yuning-jiang">Yuning Jiang</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">A typical practice is privileged features distillation (PFD): train a teacher model using all features (including privileged ones) and then distill the knowledge from the teacher model using a student model (excluding the privileged features), which is then employed for online serving.</p> <div class="sota"> </div> <p> <a href="/task/click-through-rate-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000029-2f4f416c.jpg"> <span>Click-Through Rate Prediction</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/calibration-compatible-listwise-distillation" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/calibration-compatible-listwise-distillation#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/combating-bilateral-edge-noise-for-robust-1"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2311.01196.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/combating-bilateral-edge-noise-for-robust-1">Combating Bilateral Edge Noise for Robust Link Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/combating-bilateral-edge-noise-for-robust-1#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/neurips-2023-11"> NeurIPS 2023 </a> </span> • <span class="author-span "> <a href="/author/zhanke-zhou">Zhanke Zhou</a></span>, <span class="author-span "> <a href="/author/jiangchao-yao">Jiangchao Yao</a></span>, <span class="author-span "> <a href="/author/jiaxu-liu">Jiaxu Liu</a></span>, <span class="author-span "> <a href="/author/xiawei-guo">Xiawei Guo</a></span>, <span class="author-span "> <a href="/author/quanming-yao">Quanming Yao</a></span>, <span class="author-span "> <a href="/author/li-he">Li He</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/bo-han">Bo Han</a></span> </p> <p class="item-strip-abstract">To address this dilemma, we propose an information-theory-guided principle, Robust Graph Information Bottleneck (RGIB), to extract reliable supervision signals and avoid representation collapse.</p> <div class="sota"> </div> <p> <a href="/task/denoising"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/6c4d53f8-9c6d-47c8-80c7-1b8e1c0a7d42.jpg"> <span>Denoising</span> </span> </a> <a href="/task/link-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000031-326cd034.jpg"> <span>Link Prediction</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/combating-bilateral-edge-noise-for-robust-1#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 9</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/combating-bilateral-edge-noise-for-robust-1" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/combating-bilateral-edge-noise-for-robust-1#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/robust-representation-learning-for-unified"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2310.15492.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/robust-representation-learning-for-unified">Robust Representation Learning for Unified Online Top-K Recommendation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/robust-representation-learning-for-unified#code">no code implementations</a> • <span class="author-name-text item-date-pub">24 Oct 2023</span> • <span class="author-span "> <a href="/author/minfang-lu">Minfang Lu</a></span>, <span class="author-span "> <a href="/author/yuchen-jiang">Yuchen Jiang</a></span>, <span class="author-span "> <a href="/author/huihui-dong">Huihui Dong</a></span>, <span class="author-span "> <a href="/author/qi-li">Qi Li</a></span>, <span class="author-span "> <a href="/author/ziru-xu">Ziru Xu</a></span>, <span class="author-span "> <a href="/author/yuanlin-liu">Yuanlin Liu</a></span>, <span class="author-span "> <a href="/author/lixia-wu">Lixia Wu</a></span>, <span class="author-span "> <a href="/author/haoyuan-hu">Haoyuan Hu</a></span>, <span class="author-span "> <a href="/author/han-zhu">Han Zhu</a></span>, <span class="author-span "> <a href="/author/yuning-jiang">Yuning Jiang</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">The robust representation learning employs domain adversarial learning and multi-view wasserstein distribution learning to learn robust representations.</p> <div class="sota"> </div> <p> <a href="/task/fairness"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Fairness</span> </span> </a> <a href="/task/representation-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000228-3131cfbf_nx72Tly.jpg"> <span>Representation Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/robust-representation-learning-for-unified" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/robust-representation-learning-for-unified#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/oneseg-self-learning-and-one-shot-learning"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2309.13671.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/oneseg-self-learning-and-one-shot-learning">OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/oneseg-self-learning-and-one-shot-learning#code">no code implementations</a> • <span class="author-name-text item-date-pub">24 Sep 2023</span> • <span class="author-span "> <a href="/author/yixuan-wu">Yixuan Wu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/jintai-chen">Jintai Chen</a></span>, <span class="author-span "> <a href="/author/danny-z-chen">Danny Z. Chen</a></span>, <span class="author-span "> <a href="/author/jian-wu">Jian Wu</a></span> </p> <p class="item-strip-abstract">As deep learning methods continue to improve medical image segmentation performance, data annotation is still a big bottleneck due to the labor-intensive and time-consuming burden on medical experts, especially for 3D images.</p> <div class="sota"> </div> <p> <a href="/task/image-segmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Image Segmentation</span> </span> </a> <a href="/task/medical-image-segmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000876-6fbe75a2_gBlYteG.jpg"> <span>Medical Image Segmentation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/oneseg-self-learning-and-one-shot-learning#tasks"> <span class="badge badge-primary"> <b>+5</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/oneseg-self-learning-and-one-shot-learning" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/oneseg-self-learning-and-one-shot-learning#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/neuro-symbolic-recommendation-model-based-on"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2309.07594.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/neuro-symbolic-recommendation-model-based-on">Neuro-Symbolic Recommendation Model based on Logic Query</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/neuro-symbolic-recommendation-model-based-on#code">no code implementations</a> • <span class="author-name-text item-date-pub">14 Sep 2023</span> • <span class="author-span "> <a href="/author/maonian-wu">Maonian Wu</a></span>, <span class="author-span "> <a href="/author/bang-chen">Bang Chen</a></span>, <span class="author-span "> <a href="/author/shaojun-zhu">Shaojun Zhu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/wei-peng">Wei Peng</a></span>, <span class="author-span "> <a href="/author/mingyi-zhang">Mingyi Zhang</a></span> </p> <p class="item-strip-abstract">A recommendation system assists users in finding items that are relevant to them.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/neuro-symbolic-recommendation-model-based-on" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/neuro-symbolic-recommendation-model-based-on#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/entire-space-cascade-delayed-feedback"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2308.04768.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/entire-space-cascade-delayed-feedback">Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/entire-space-cascade-delayed-feedback#code">no code implementations</a> • <span class="author-name-text item-date-pub">9 Aug 2023</span> • <span class="author-span "> <a href="/author/yunfeng-zhao">Yunfeng Zhao</a></span>, <span class="author-span "> <a href="/author/xu-yan">Xu Yan</a></span>, <span class="author-span "> <a href="/author/xiaoqiang-gui">Xiaoqiang Gui</a></span>, <span class="author-span "> <a href="/author/shuguang-han">Shuguang Han</a></span>, <span class="author-span "> <a href="/author/xiang-rong-sheng">Xiang-Rong Sheng</a></span>, <span class="author-span "> <a href="/author/guoxian-yu">Guoxian Yu</a></span>, <span class="author-span "> <a href="/author/jufeng-chen">Jufeng Chen</a></span>, <span class="author-span "> <a href="/author/zhao-xu">Zhao Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Furthermore, there is delayed feedback in both conversion and refund events and they are sequentially dependent, named cascade delayed feedback (CDF), which significantly harms data freshness for model training.</p> <div class="sota"> </div> <p> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> <a href="/task/selection-bias"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Selection bias</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/entire-space-cascade-delayed-feedback" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/entire-space-cascade-delayed-feedback#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/neural-symbolic-recommendation-with-graph"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2307.05036.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/neural-symbolic-recommendation-with-graph">Neural-Symbolic Recommendation with Graph-Enhanced Information</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/neural-symbolic-recommendation-with-graph#code">1 code implementation</a> • <span class="author-name-text item-date-pub">11 Jul 2023</span> • <span class="author-span "> <a href="/author/bang-chen">Bang Chen</a></span>, <span class="author-span "> <a href="/author/wei-peng">Wei Peng</a></span>, <span class="author-span "> <a href="/author/maonian-wu">Maonian Wu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/shaojun-zhu">Shaojun Zhu</a></span> </p> <p class="item-strip-abstract">Some researchers use user behavior for logic reasoning to achieve recommendation prediction from the perspective of cognitive reasoning, but this kind of reasoning is a local one and ignores implicit information on a global scale.</p> <div class="sota"> </div> <p> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 3</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/neural-symbolic-recommendation-with-graph" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/neural-symbolic-recommendation-with-graph#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/multi-scenario-ranking-with-adaptive-feature"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2306.16732.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/multi-scenario-ranking-with-adaptive-feature">Multi-Scenario Ranking with Adaptive Feature Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/multi-scenario-ranking-with-adaptive-feature#code">no code implementations</a> • <span class="author-name-text item-date-pub">29 Jun 2023</span> • <span class="author-span "> <a href="/author/yu-tian">Yu Tian</a></span>, <span class="author-span "> <a href="/author/bofang-li">Bofang Li</a></span>, <span class="author-span "> <a href="/author/si-chen">Si Chen</a></span>, <span class="author-span "> <a href="/author/xubin-li">Xubin Li</a></span>, <span class="author-span "> <a href="/author/hongbo-deng">Hongbo Deng</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/qian-wang">Qian Wang</a></span>, <span class="author-span "> <a href="/author/chenliang-li">Chenliang Li</a></span> </p> <p class="item-strip-abstract">Recently, Multi-Scenario Learning (MSL) is widely used in recommendation and retrieval systems in the industry because it facilitates transfer learning from different scenarios, mitigating data sparsity and reducing maintenance cost.</p> <div class="sota"> </div> <p> <a href="/task/retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/8576b666-5d7a-4b88-a1e2-5dcc3ea02f16.jpg"> <span>Retrieval</span> </span> </a> <a href="/task/transfer-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000118-7e49033f_1eFA0SR.jpg"> <span>Transfer Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/multi-scenario-ranking-with-adaptive-feature" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/multi-scenario-ranking-with-adaptive-feature#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/adversarial-constrained-bidding-via-minimax"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2306.07106.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/adversarial-constrained-bidding-via-minimax">Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/adversarial-constrained-bidding-via-minimax#code">no code implementations</a> • <span class="author-name-text item-date-pub">12 Jun 2023</span> • <span class="author-span "> <a href="/author/haozhe-wang">Haozhe Wang</a></span>, <span class="author-span "> <a href="/author/chao-du">Chao Du</a></span>, <span class="author-span "> <a href="/author/panyan-fang">Panyan Fang</a></span>, <span class="author-span "> <a href="/author/li-he">Li He</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In this regard, we explore the problem of constrained bidding in adversarial bidding environments, which assumes no knowledge about the adversarial factors.</p> <div class="sota"> </div> <p> <a href="/task/meta-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001088-6b0b3a7f_0bh9941.jpg"> <span>Meta-Learning</span> </span> </a> <a href="/task/reinforcement-learning-2"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>reinforcement-learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/adversarial-constrained-bidding-via-minimax" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/adversarial-constrained-bidding-via-minimax#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/copr-consistency-oriented-pre-ranking-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2306.03516.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/copr-consistency-oriented-pre-ranking-for">COPR: Consistency-Oriented Pre-Ranking for Online Advertising</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/copr-consistency-oriented-pre-ranking-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">6 Jun 2023</span> • <span class="author-span "> <a href="/author/zhishan-zhao">Zhishan Zhao</a></span>, <span class="author-span "> <a href="/author/jingyue-gao">Jingyue Gao</a></span>, <span class="author-span "> <a href="/author/yu-zhang">Yu Zhang</a></span>, <span class="author-span "> <a href="/author/shuguang-han">Shuguang Han</a></span>, <span class="author-span "> <a href="/author/siyuan-lou">Siyuan Lou</a></span>, <span class="author-span "> <a href="/author/xiang-rong-sheng">Xiang-Rong Sheng</a></span>, <span class="author-span "> <a href="/author/zhe-wang">Zhe Wang</a></span>, <span class="author-span "> <a href="/author/han-zhu">Han Zhu</a></span>, <span class="author-span "> <a href="/author/yuning-jiang">Yuning Jiang</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In this architecture, the pre-ranking model is expected to be a lightweight approximation of the ranking model, which handles more candidates with strict latency requirements.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/copr-consistency-oriented-pre-ranking-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/copr-consistency-oriented-pre-ranking-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/rec4ad-a-free-lunch-to-mitigate-sample"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2306.03527.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/rec4ad-a-free-lunch-to-mitigate-sample">Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/rec4ad-a-free-lunch-to-mitigate-sample#code">no code implementations</a> • <span class="author-name-text item-date-pub">6 Jun 2023</span> • <span class="author-span "> <a href="/author/jingyue-gao">Jingyue Gao</a></span>, <span class="author-span "> <a href="/author/shuguang-han">Shuguang Han</a></span>, <span class="author-span "> <a href="/author/han-zhu">Han Zhu</a></span>, <span class="author-span "> <a href="/author/siran-yang">Siran Yang</a></span>, <span class="author-span "> <a href="/author/yuning-jiang">Yuning Jiang</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Another line of work relies on costly uniform data that is inadequate to train industrial models.</p> <div class="sota"> </div> <p> <a href="/task/click-through-rate-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000029-2f4f416c.jpg"> <span>Click-Through Rate Prediction</span> </span> </a> <a href="/task/data-augmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001560-029cbc00.jpg"> <span>Data Augmentation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/rec4ad-a-free-lunch-to-mitigate-sample#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/rec4ad-a-free-lunch-to-mitigate-sample" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/rec4ad-a-free-lunch-to-mitigate-sample#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/on-structural-expressive-power-of-graph"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2305.13987.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/on-structural-expressive-power-of-graph">On Structural Expressive Power of Graph Transformers</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/on-structural-expressive-power-of-graph#code">no code implementations</a> • <span class="author-name-text item-date-pub">23 May 2023</span> • <span class="author-span "> <a href="/author/wenhao-zhu">Wenhao Zhu</a></span>, <span class="author-span "> <a href="/author/tianyu-wen">Tianyu Wen</a></span>, <span class="author-span "> <a href="/author/guojie-song">Guojie Song</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Graph Transformer has recently received wide attention in the research community with its outstanding performance, yet its structural expressive power has not been well analyzed.</p> <div class="sota"> </div> <p> <a href="/task/graph-neural-network"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Graph Neural Network</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/on-structural-expressive-power-of-graph" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/on-structural-expressive-power-of-graph#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/capturing-conversion-rate-fluctuation-during"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2305.12837.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/capturing-conversion-rate-fluctuation-during">Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/capturing-conversion-rate-fluctuation-during#code">1 code implementation</a> • <span class="author-name-text item-date-pub">22 May 2023</span> • <span class="author-span "> <a href="/author/zhangming-chan">Zhangming Chan</a></span>, <span class="author-span "> <a href="/author/yu-zhang">Yu Zhang</a></span>, <span class="author-span "> <a href="/author/shuguang-han">Shuguang Han</a></span>, <span class="author-span "> <a href="/author/yong-bai">Yong Bai</a></span>, <span class="author-span "> <a href="/author/xiang-rong-sheng">Xiang-Rong Sheng</a></span>, <span class="author-span "> <a href="/author/siyuan-lou">Siyuan Lou</a></span>, <span class="author-span "> <a href="/author/jiacen-hu">Jiacen Hu</a></span>, <span class="author-span "> <a href="/author/baolin-liu">Baolin Liu</a></span>, <span class="author-span "> <a href="/author/yuning-jiang">Yuning Jiang</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">However, we observe that a well-trained CVR prediction model often performs sub-optimally during sales promotions.</p> <div class="sota"> </div> <p> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> <a href="/task/retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/8576b666-5d7a-4b88-a1e2-5dcc3ea02f16.jpg"> <span>Retrieval</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 5</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/capturing-conversion-rate-fluctuation-during" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/capturing-conversion-rate-fluctuation-during#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/fedads-a-benchmark-for-privacy-preserving-cvr"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2305.08328.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/fedads-a-benchmark-for-privacy-preserving-cvr">FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/fedads-a-benchmark-for-privacy-preserving-cvr#code">no code implementations</a> • <span class="author-name-text item-date-pub">15 May 2023</span> • <span class="author-span "> <a href="/author/penghui-wei">Penghui Wei</a></span>, <span class="author-span "> <a href="/author/hongjian-dou">Hongjian Dou</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/rongjun-tang">Rongjun Tang</a></span>, <span class="author-span "> <a href="/author/li-liu">Li Liu</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">We introduce FedAds, the first benchmark for CVR estimation with vFL, to facilitate standardized and systematical evaluations for vFL algorithms.</p> <div class="sota"> </div> <p> <a href="/task/privacy-preserving"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Privacy Preserving</span> </span> </a> <a href="/task/vertical-federated-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Vertical Federated Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/fedads-a-benchmark-for-privacy-preserving-cvr" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/fedads-a-benchmark-for-privacy-preserving-cvr#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/units-a-universal-time-series-analysis"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2303.13804.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/units-a-universal-time-series-analysis">UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/units-a-universal-time-series-analysis#code">1 code implementation</a> • <span class="author-name-text item-date-pub">24 Mar 2023</span> • <span class="author-span "> <a href="/author/zhiyu-liang">Zhiyu Liang</a></span>, <span class="author-span "> <a href="/author/chen-liang">Chen Liang</a></span>, <span class="author-span "> <a href="/author/zheng-liang">Zheng Liang</a></span>, <span class="author-span "> <a href="/author/hongzhi-wang">Hongzhi Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Machine learning has emerged as a powerful tool for time series analysis.</p> <div class="sota"> </div> <p> <a href="/task/representation-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000228-3131cfbf_nx72Tly.jpg"> <span>Representation Learning</span> </span> </a> <a href="/task/time-series-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Time Series</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/units-a-universal-time-series-analysis#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 31</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/units-a-universal-time-series-analysis" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/units-a-universal-time-series-analysis#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/leveraging-pretrained-representations-with"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2303.08019.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/leveraging-pretrained-representations-with">Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/leveraging-pretrained-representations-with#code">no code implementations</a> • <span class="author-name-text item-date-pub">14 Mar 2023</span> • <span class="author-span "> <a href="/author/jinchao-li">Jinchao Li</a></span>, <span class="author-span "> <a href="/author/kaitao-song">Kaitao Song</a></span>, <span class="author-span "> <a href="/author/junan-li">Junan Li</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/dongsheng-li">Dongsheng Li</a></span>, <span class="author-span "> <a href="/author/xixin-wu">Xixin Wu</a></span>, <span class="author-span "> <a href="/author/xunying-liu">Xunying Liu</a></span>, <span class="author-span "> <a href="/author/helen-meng">Helen Meng</a></span> </p> <p class="item-strip-abstract">This paper presents several efficient methods to extract better AD-related cues from high-level acoustic and linguistic features.</p> <div class="sota"> </div> <p> <a href="/task/alzheimer-s-disease-detection"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Alzheimer's Disease Detection</span> </span> </a> <a href="/task/binary-classification"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Binary Classification</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/leveraging-pretrained-representations-with" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/leveraging-pretrained-representations-with#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/gradient-coordination-for-quantifying-and"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2303.05847.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/gradient-coordination-for-quantifying-and">Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/gradient-coordination-for-quantifying-and#code">no code implementations</a> • <span class="author-name-text item-date-pub">10 Mar 2023</span> • <span class="author-span "> <a href="/author/xuanhua-yang">Xuanhua Yang</a></span>, <span class="author-span "> <a href="/author/jianxin-zhao">Jianxin Zhao</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Multi-task learning (MTL) has been widely applied in online advertising and recommender systems.</p> <div class="sota"> </div> <p> <a href="/task/multi-task-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000069-a2f3e151.jpg"> <span>Multi-Task Learning</span> </span> </a> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/gradient-coordination-for-quantifying-and" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/gradient-coordination-for-quantifying-and#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/rltp-reinforcement-learning-to-pace-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2302.02592.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/rltp-reinforcement-learning-to-pace-for">RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/rltp-reinforcement-learning-to-pace-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">6 Feb 2023</span> • <span class="author-span "> <a href="/author/penghui-wei">Penghui Wei</a></span>, <span class="author-span "> <a href="/author/yongqiang-chen">Yongqiang Chen</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In a whole delivery period, advertisers usually desire a certain impression count for the ads, and they also expect that the delivery performance is as good as possible (e. g., obtaining high click-through rate).</p> <div class="sota"> </div> <p> <a href="/task/reinforcement-learning-2"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>reinforcement-learning</span> </span> </a> <a href="/task/reinforcement-learning-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Reinforcement Learning (RL)</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/rltp-reinforcement-learning-to-pace-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/rltp-reinforcement-learning-to-pace-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/hybrid-contrastive-constraints-for-multi"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2302.02636.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/hybrid-contrastive-constraints-for-multi">Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/hybrid-contrastive-constraints-for-multi#code">no code implementations</a> • <span class="author-name-text item-date-pub">6 Feb 2023</span> • <span class="author-span "> <a href="/author/shanlei-mu">Shanlei Mu</a></span>, <span class="author-span "> <a href="/author/penghui-wei">Penghui Wei</a></span>, <span class="author-span "> <a href="/author/wayne-xin-zhao">Wayne Xin Zhao</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In this paper, we propose a Hybrid Contrastive Constrained approach (HC^2) for multi-scenario ad ranking.</p> <div class="sota"> </div> <p> <a href="/task/contrastive-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/a2dca842-c6b6-4209-b2a8-dffeac2ef283.jpg"> <span>Contrastive Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/hybrid-contrastive-constraints-for-multi" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/hybrid-contrastive-constraints-for-multi#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/hit-scir-at-mmnlu-22-consistency"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2301.02010.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/hit-scir-at-mmnlu-22-consistency">HIT-SCIR at MMNLU-22: Consistency Regularization for Multilingual Spoken Language Understanding</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/hit-scir-at-mmnlu-22-consistency#code">no code implementations</a> • <span class="author-name-text item-date-pub">5 Jan 2023</span> • <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/zhouyang-li">Zhouyang Li</a></span>, <span class="author-span "> <a href="/author/fuxuan-wei">Fuxuan Wei</a></span>, <span class="author-span "> <a href="/author/qiguang-chen">Qiguang Chen</a></span>, <span class="author-span "> <a href="/author/libo-qin">Libo Qin</a></span>, <span class="author-span "> <a href="/author/wanxiang-che">Wanxiang Che</a></span> </p> <p class="item-strip-abstract">Multilingual spoken language understanding (SLU) consists of two sub-tasks, namely intent detection and slot filling.</p> <div class="sota"> </div> <p> <a href="/task/data-augmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001560-029cbc00.jpg"> <span>Data Augmentation</span> </span> </a> <a href="/task/intent-detection"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Intent Detection</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/hit-scir-at-mmnlu-22-consistency#tasks"> <span class="badge badge-primary"> <b>+3</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/hit-scir-at-mmnlu-22-consistency" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/hit-scir-at-mmnlu-22-consistency#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/end-to-end-modeling-hierarchical-time-series"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2212.13706.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/end-to-end-modeling-hierarchical-time-series">End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/end-to-end-modeling-hierarchical-time-series#code">1 code implementation</a> • <span class="author-name-text item-date-pub">28 Dec 2022</span> • <span class="author-span "> <a href="/author/shiyu-wang">Shiyu Wang</a></span>, <span class="author-span "> <a href="/author/fan-zhou">Fan Zhou</a></span>, <span class="author-span "> <a href="/author/yinbo-sun">Yinbo Sun</a></span>, <span class="author-span "> <a href="/author/lintao-ma">Lintao Ma</a></span>, <span class="author-span "> <a href="/author/james-zhang">James Zhang</a></span>, <span class="author-span "> <a href="/author/yangfei-zheng">Yangfei Zheng</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/lei-lei">Lei Lei</a></span>, <span class="author-span "> <a href="/author/yun-hu">Yun Hu</a></span> </p> <p class="item-strip-abstract">Multivariate time series forecasting with hierarchical structure is pervasive in real-world applications, demanding not only predicting each level of the hierarchy, but also reconciling all forecasts to ensure coherency, i. e., the forecasts should satisfy the hierarchical aggregation constraints.</p> <div class="sota"> </div> <p> <a href="/task/multivariate-time-series-forecasting"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Multivariate Time Series Forecasting</span> </span> </a> <a href="/task/time-series-1"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Time Series</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 864</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/end-to-end-modeling-hierarchical-time-series" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/end-to-end-modeling-hierarchical-time-series#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/correlative-preference-transfer-with"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2211.11191.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/correlative-preference-transfer-with">Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/correlative-preference-transfer-with#code">no code implementations</a> • <span class="author-name-text item-date-pub">21 Nov 2022</span> • <span class="author-span "> <a href="/author/zixuan-xu">Zixuan Xu</a></span>, <span class="author-span "> <a href="/author/penghui-wei">Penghui Wei</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/weimin-zhang">Weimin Zhang</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Conventional graph neural network based methods usually deal with each domain separately, or train a shared model to serve all domains.</p> <div class="sota"> </div> <p> <a href="/task/graph-neural-network"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Graph Neural Network</span> </span> </a> <a href="/task/marketing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Marketing</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/correlative-preference-transfer-with" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/correlative-preference-transfer-with#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/exploiting-prompt-learning-with-pre-trained"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2210.16539.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/exploiting-prompt-learning-with-pre-trained">Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/exploiting-prompt-learning-with-pre-trained#code">1 code implementation</a> • <span class="author-name-text item-date-pub">29 Oct 2022</span> • <span class="author-span "> <a href="/author/yi-wang">Yi Wang</a></span>, <span class="author-span "> <a href="/author/jiajun-deng">Jiajun Deng</a></span>, <span class="author-span "> <a href="/author/tianzi-wang">Tianzi Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/shoukang-hu">Shoukang Hu</a></span>, <span class="author-span "> <a href="/author/xunying-liu">Xunying Liu</a></span>, <span class="author-span "> <a href="/author/helen-meng">Helen Meng</a></span> </p> <p class="item-strip-abstract">Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care and to delay further progression.</p> <div class="sota"> </div> <p> <a href="/task/alzheimer-s-disease-detection"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Alzheimer's Disease Detection</span> </span> </a> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/exploiting-prompt-learning-with-pre-trained#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 8</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/exploiting-prompt-learning-with-pre-trained" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/exploiting-prompt-learning-with-pre-trained#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/sustainable-online-reinforcement-learning-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2210.07006.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/sustainable-online-reinforcement-learning-for">Sustainable Online Reinforcement Learning for Auto-bidding</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/sustainable-online-reinforcement-learning-for#code">1 code implementation</a> • <span class="author-name-text item-date-pub">13 Oct 2022</span> • <span class="author-span "> <a href="/author/zhiyu-mou">Zhiyu Mou</a></span>, <span class="author-span "> <a href="/author/yusen-huo">Yusen Huo</a></span>, <span class="author-span "> <a href="/author/rongquan-bai">Rongquan Bai</a></span>, <span class="author-span "> <a href="/author/mingzhou-xie">Mingzhou Xie</a></span>, <span class="author-span "> <a href="/author/chuan-yu">Chuan Yu</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Due to safety concerns, it was believed that the RL training process can only be carried out in an offline virtual advertising system (VAS) that is built based on the historical data generated in the RAS.</p> <div class="sota"> </div> <p> <a href="/task/q-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001087-dfc18898_Me2kNWv.jpg"> <span>Q-Learning</span> </span> </a> <a href="/task/reinforcement-learning-2"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>reinforcement-learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/sustainable-online-reinforcement-learning-for#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 35</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/sustainable-online-reinforcement-learning-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/sustainable-online-reinforcement-learning-for#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/towards-understanding-the-overfitting"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2209.06053.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/towards-understanding-the-overfitting">Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-understanding-the-overfitting#code">1 code implementation</a> • <span class="author-name-text item-date-pub">4 Sep 2022</span> • <span class="author-span "> <a href="/author/zhao-yu-zhang">Zhao-Yu Zhang</a></span>, <span class="author-span "> <a href="/author/xiang-rong-sheng">Xiang-Rong Sheng</a></span>, <span class="author-span "> <a href="/author/yujing-zhang">Yujing Zhang</a></span>, <span class="author-span "> <a href="/author/biye-jiang">Biye Jiang</a></span>, <span class="author-span "> <a href="/author/shuguang-han">Shuguang Han</a></span>, <span class="author-span "> <a href="/author/hongbo-deng">Hongbo Deng</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">However, far less attention has been paid to the overfitting problem of models in recommendation systems, which, on the contrary, is recognized as a critical issue for deep neural networks.</p> <div class="sota"> </div> <p> <a href="/task/click-through-rate-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000029-2f4f416c.jpg"> <span>Click-Through Rate Prediction</span> </span> </a> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 25</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/towards-understanding-the-overfitting" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/towards-understanding-the-overfitting#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/personalized-inter-task-contrastive-learning"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2208.13442.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/personalized-inter-task-contrastive-learning">Modeling Adaptive Fine-grained Task Relatedness for Joint CTR-CVR Estimation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/personalized-inter-task-contrastive-learning#code">no code implementations</a> • <span class="author-name-text item-date-pub">29 Aug 2022</span> • <span class="author-span "> <a href="/author/zihan-lin">Zihan Lin</a></span>, <span class="author-span "> <a href="/author/xuanhua-yang">Xuanhua Yang</a></span>, <span class="author-span "> <a href="/author/xiaoyu-peng">Xiaoyu Peng</a></span>, <span class="author-span "> <a href="/author/wayne-xin-zhao">Wayne Xin Zhao</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">For this purpose, we build a relatedness prediction network, so that it can predict the contrast strength for inter-task representations of an instance.</p> <div class="sota"> </div> <p> <a href="/task/contrastive-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/a2dca842-c6b6-4209-b2a8-dffeac2ef283.jpg"> <span>Contrastive Learning</span> </span> </a> <a href="/task/multi-task-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000069-a2f3e151.jpg"> <span>Multi-Task Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/personalized-inter-task-contrastive-learning#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/personalized-inter-task-contrastive-learning" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/personalized-inter-task-contrastive-learning#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/keep-an-industrial-pre-training-framework-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2208.10174.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/keep-an-industrial-pre-training-framework-for">KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/keep-an-industrial-pre-training-framework-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">22 Aug 2022</span> • <span class="author-span "> <a href="/author/yujing-zhang">Yujing Zhang</a></span>, <span class="author-span "> <a href="/author/zhangming-chan">Zhangming Chan</a></span>, <span class="author-span "> <a href="/author/shuhao-xu">Shuhao Xu</a></span>, <span class="author-span "> <a href="/author/weijie-bian">Weijie Bian</a></span>, <span class="author-span "> <a href="/author/shuguang-han">Shuguang Han</a></span>, <span class="author-span "> <a href="/author/hongbo-deng">Hongbo Deng</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">To alleviate this issue, we propose to extract knowledge from the \textit{super-domain} that contains web-scale and long-time impression data, and further assist the online recommendation task (downstream task).</p> <div class="sota"> </div> <p> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/keep-an-industrial-pre-training-framework-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/keep-an-industrial-pre-training-framework-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/joint-optimization-of-ranking-and-calibration"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2208.06164.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/joint-optimization-of-ranking-and-calibration">Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/joint-optimization-of-ranking-and-calibration#code">no code implementations</a> • <span class="author-name-text item-date-pub">12 Aug 2022</span> • <span class="author-span "> <a href="/author/xiang-rong-sheng">Xiang-Rong Sheng</a></span>, <span class="author-span "> <a href="/author/jingyue-gao">Jingyue Gao</a></span>, <span class="author-span "> <a href="/author/yueyao-cheng">Yueyao Cheng</a></span>, <span class="author-span "> <a href="/author/siran-yang">Siran Yang</a></span>, <span class="author-span "> <a href="/author/shuguang-han">Shuguang Han</a></span>, <span class="author-span "> <a href="/author/hongbo-deng">Hongbo Deng</a></span>, <span class="author-span "> <a href="/author/yuning-jiang">Yuning Jiang</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">It can be attributed to the calibration ability of the pointwise loss since the prediction can be viewed as the click probability.</p> <div class="sota"> </div> <p> <a href="/task/click-through-rate-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000029-2f4f416c.jpg"> <span>Click-Through Rate Prediction</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/joint-optimization-of-ranking-and-calibration" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/joint-optimization-of-ranking-and-calibration#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/adasparse-learning-adaptively-sparse"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2206.13108.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/adasparse-learning-adaptively-sparse">AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/adasparse-learning-adaptively-sparse#code">no code implementations</a> • <span class="author-name-text item-date-pub">27 Jun 2022</span> • <span class="author-span "> <a href="/author/xuanhua-yang">Xuanhua Yang</a></span>, <span class="author-span "> <a href="/author/xiaoyu-peng">Xiaoyu Peng</a></span>, <span class="author-span "> <a href="/author/penghui-wei">Penghui Wei</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Click-through rate (CTR) prediction is a fundamental technique in recommendation and advertising systems.</p> <div class="sota"> </div> <p> <a href="/task/click-through-rate-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000029-2f4f416c.jpg"> <span>Click-Through Rate Prediction</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/adasparse-learning-adaptively-sparse" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/adasparse-learning-adaptively-sparse#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/adaptive-domain-interest-network-for-multi"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2206.09672.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/adaptive-domain-interest-network-for-multi">Adaptive Domain Interest Network for Multi-domain Recommendation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/adaptive-domain-interest-network-for-multi#code">no code implementations</a> • <span class="author-name-text item-date-pub">20 Jun 2022</span> • <span class="author-span "> <a href="/author/yuchen-jiang">Yuchen Jiang</a></span>, <span class="author-span "> <a href="/author/qi-li">Qi Li</a></span>, <span class="author-span "> <a href="/author/han-zhu">Han Zhu</a></span>, <span class="author-span "> <a href="/author/jinbei-yu">Jinbei Yu</a></span>, <span class="author-span "> <a href="/author/jin-li">Jin Li</a></span>, <span class="author-span "> <a href="/author/ziru-xu">Ziru Xu</a></span>, <span class="author-span "> <a href="/author/huihui-dong">Huihui Dong</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Industrial recommender systems usually hold data from multiple business scenarios and are expected to provide recommendation services for these scenarios simultaneously.</p> <div class="sota"> </div> <p> <a href="/task/domain-adaptation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000588-823db955.jpg"> <span>Domain Adaptation</span> </span> </a> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/adaptive-domain-interest-network-for-multi#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/adaptive-domain-interest-network-for-multi" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/adaptive-domain-interest-network-for-multi#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/roi-constrained-bidding-via-curriculum-guided"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2206.05240.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/roi-constrained-bidding-via-curriculum-guided">ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/roi-constrained-bidding-via-curriculum-guided#code">1 code implementation</a> • <span class="author-name-text item-date-pub">10 Jun 2022</span> • <span class="author-span "> <a href="/author/haozhe-wang">Haozhe Wang</a></span>, <span class="author-span "> <a href="/author/chao-du">Chao Du</a></span>, <span class="author-span "> <a href="/author/panyan-fang">Panyan Fang</a></span>, <span class="author-span "> <a href="/author/shuo-yuan">Shuo Yuan</a></span>, <span class="author-span "> <a href="/author/xuming-he">Xuming He</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Real-Time Bidding (RTB) is an important mechanism in modern online advertising systems.</p> <div class="sota"> </div> <p> <a href="/task/reinforcement-learning-2"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>reinforcement-learning</span> </span> </a> <a href="/task/reinforcement-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Reinforcement Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/roi-constrained-bidding-via-curriculum-guided#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 20</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/roi-constrained-bidding-via-curriculum-guided" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/roi-constrained-bidding-via-curriculum-guided#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/learning-disentangled-representations-for-3"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2206.01022.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/learning-disentangled-representations-for-3">Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/learning-disentangled-representations-for-3#code">no code implementations</a> • <span class="author-name-text item-date-pub">2 Jun 2022</span> • <span class="author-span "> <a href="/author/mingyuan-cheng">Mingyuan Cheng</a></span>, <span class="author-span "> <a href="/author/xinru-liao">Xinru Liao</a></span>, <span class="author-span "> <a href="/author/quan-liu">Quan Liu</a></span>, <span class="author-span "> <a href="/author/bin-ma">Bin Ma</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Learning individual-level treatment effect is a fundamental problem in causal inference and has received increasing attention in many areas, especially in the user growth area which concerns many internet companies.</p> <div class="sota"> </div> <p> <a href="/task/causal-inference"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000835-d04c4325.jpg"> <span>Causal Inference</span> </span> </a> <a href="/task/counterfactual"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>counterfactual</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/learning-disentangled-representations-for-3#tasks"> <span class="badge badge-primary"> <b>+3</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/learning-disentangled-representations-for-3" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/learning-disentangled-representations-for-3#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/hierarchically-constrained-adaptive-ad"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2205.15759.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/hierarchically-constrained-adaptive-ad">Hierarchically Constrained Adaptive Ad Exposure in Feeds</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/hierarchically-constrained-adaptive-ad#code">no code implementations</a> • <span class="author-name-text item-date-pub">31 May 2022</span> • <span class="author-span "> <a href="/author/dagui-chen">Dagui Chen</a></span>, <span class="author-span "> <a href="/author/qi-yan">Qi Yan</a></span>, <span class="author-span "> <a href="/author/chunjie-chen">Chunjie Chen</a></span>, <span class="author-span "> <a href="/author/zhenzhe-zheng">Zhenzhe Zheng</a></span>, <span class="author-span "> <a href="/author/yangsu-liu">Yangsu Liu</a></span>, <span class="author-span "> <a href="/author/zhenjia-ma">Zhenjia Ma</a></span>, <span class="author-span "> <a href="/author/chuan-yu">Chuan Yu</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">To this end, adaptive ad exposure has become an appealing strategy to boost the overall performance of the feed.</p> <div class="sota"> </div> <p> <a href="/task/computational-efficiency"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Computational Efficiency</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/hierarchically-constrained-adaptive-ad" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/hierarchically-constrained-adaptive-ad#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/towards-personalized-bundle-creative"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2205.14970.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/towards-personalized-bundle-creative">Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-personalized-bundle-creative#code">no code implementations</a> • <span class="author-name-text item-date-pub">30 May 2022</span> • <span class="author-span "> <a href="/author/penghui-wei">Penghui Wei</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/xuanhua-yang">Xuanhua Yang</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Current bundle generation studies focus on generating a combination of items to improve user experience.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/towards-personalized-bundle-creative" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/towards-personalized-bundle-creative#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/gba-a-tuning-free-approach-to-switch-between"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2205.11048.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/gba-a-tuning-free-approach-to-switch-between">GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/gba-a-tuning-free-approach-to-switch-between#code">no code implementations</a> • <span class="author-name-text item-date-pub">23 May 2022</span> • <span class="author-span "> <a href="/author/wenbo-su">Wenbo Su</a></span>, <span class="author-span "> <a href="/author/yuanxing-zhang">Yuanxing Zhang</a></span>, <span class="author-span "> <a href="/author/yufeng-cai">Yufeng Cai</a></span>, <span class="author-span "> <a href="/author/kaixu-ren">Kaixu Ren</a></span>, <span class="author-span "> <a href="/author/pengjie-wang">Pengjie Wang</a></span>, <span class="author-span "> <a href="/author/huimin-yi">Huimin Yi</a></span>, <span class="author-span "> <a href="/author/yue-song">Yue Song</a></span>, <span class="author-span "> <a href="/author/jing-chen">Jing Chen</a></span>, <span class="author-span "> <a href="/author/hongbo-deng">Hongbo Deng</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span "> <a href="/author/lin-qu">Lin Qu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">High-concurrency asynchronous training upon parameter server (PS) architecture and high-performance synchronous training upon all-reduce (AR) architecture are the most commonly deployed distributed training modes for recommendation models.</p> <div class="sota"> </div> <p> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/gba-a-tuning-free-approach-to-switch-between" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/gba-a-tuning-free-approach-to-switch-between#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/creater-ctr-driven-advertising-text"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2205.08943.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/creater-ctr-driven-advertising-text">CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/creater-ctr-driven-advertising-text#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/naacl-acl-2022-7"> NAACL (ACL) 2022 </a> </span> • <span class="author-span "> <a href="/author/penghui-wei">Penghui Wei</a></span>, <span class="author-span "> <a href="/author/xuanhua-yang">Xuanhua Yang</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">This paper focuses on automatically generating the text of an ad, and the goal is that the generated text can capture user interest for achieving higher click-through rate (CTR).</p> <div class="sota"> </div> <p> <a href="/task/contrastive-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/a2dca842-c6b6-4209-b2a8-dffeac2ef283.jpg"> <span>Contrastive Learning</span> </span> </a> <a href="/task/text-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/2a04ff75-1032-4f9f-911b-f7198faeb6f5.jpg"> <span>Text Generation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/creater-ctr-driven-advertising-text" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/creater-ctr-driven-advertising-text#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/posterior-probability-matters-doubly-adaptive"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2205.07295.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/posterior-probability-matters-doubly-adaptive">Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/posterior-probability-matters-doubly-adaptive#code">no code implementations</a> • <span class="author-name-text item-date-pub">15 May 2022</span> • <span class="author-span "> <a href="/author/penghui-wei">Penghui Wei</a></span>, <span class="author-span "> <a href="/author/weimin-zhang">Weimin Zhang</a></span>, <span class="author-span "> <a href="/author/ruijie-hou">Ruijie Hou</a></span>, <span class="author-span "> <a href="/author/jinquan-liu">Jinquan Liu</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Calibration techniques aim to post-process model predictions to posterior probabilities.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/posterior-probability-matters-doubly-adaptive" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/posterior-probability-matters-doubly-adaptive#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/visual-encoding-and-debiasing-for-ctr"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2205.04168.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/visual-encoding-and-debiasing-for-ctr">Visual Encoding and Debiasing for CTR Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/visual-encoding-and-debiasing-for-ctr#code">no code implementations</a> • <span class="author-name-text item-date-pub">9 May 2022</span> • <span class="author-span "> <a href="/author/si-chen">Si Chen</a></span>, <span class="author-span "> <a href="/author/chen-lin">Chen Lin</a></span>, <span class="author-span "> <a href="/author/wanxian-guan">Wanxian Guan</a></span>, <span class="author-span "> <a href="/author/jiayi-wei">Jiayi Wei</a></span>, <span class="author-span "> <a href="/author/xingyuan-bu">Xingyuan Bu</a></span>, <span class="author-span "> <a href="/author/he-guo">He guo</a></span>, <span class="author-span "> <a href="/author/hui-li">Hui Li</a></span>, <span class="author-span "> <a href="/author/xubin-li">Xubin Li</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In this paper, we present a visual encoding framework for CTR prediction to overcome these problems.</p> <div class="sota"> </div> <p> <a href="/task/click-through-rate-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000029-2f4f416c.jpg"> <span>Click-Through Rate Prediction</span> </span> </a> <a href="/task/contrastive-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/a2dca842-c6b6-4209-b2a8-dffeac2ef283.jpg"> <span>Contrastive Learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/visual-encoding-and-debiasing-for-ctr#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/visual-encoding-and-debiasing-for-ctr" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/visual-encoding-and-debiasing-for-ctr#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/stablemoe-stable-routing-strategy-for-mixture-1"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2204.08396.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/stablemoe-stable-routing-strategy-for-mixture-1">StableMoE: Stable Routing Strategy for Mixture of Experts</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/stablemoe-stable-routing-strategy-for-mixture-1#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/acl-2022-5"> ACL 2022 </a> </span> • <span class="author-span "> <a href="/author/damai-dai">Damai Dai</a></span>, <span class="author-span "> <a href="/author/li-dong">Li Dong</a></span>, <span class="author-span "> <a href="/author/shuming-ma">Shuming Ma</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/zhifang-sui">Zhifang Sui</a></span>, <span class="author-span "> <a href="/author/baobao-chang">Baobao Chang</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span> </p> <p class="item-strip-abstract">We point out that existing learning-to-route MoE methods suffer from the routing fluctuation issue, i. e., the target expert of the same input may change along with training, but only one expert will be activated for the input during inference.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/machine-translation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000257-2b560008_M7RFnV9.jpg"> <span>Machine Translation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 42</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/stablemoe-stable-routing-strategy-for-mixture-1" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/stablemoe-stable-routing-strategy-for-mixture-1#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/picasso-unleashing-the-potential-of-gpu"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2204.04903.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/picasso-unleashing-the-potential-of-gpu">PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/picasso-unleashing-the-potential-of-gpu#code">1 code implementation</a> • <span class="author-name-text item-date-pub">11 Apr 2022</span> • <span class="author-span "> <a href="/author/yuanxing-zhang">Yuanxing Zhang</a></span>, <span class="author-span "> <a href="/author/langshi-chen">Langshi Chen</a></span>, <span class="author-span "> <a href="/author/siran-yang">Siran Yang</a></span>, <span class="author-span "> <a href="/author/man-yuan">Man Yuan</a></span>, <span class="author-span "> <a href="/author/huimin-yi">Huimin Yi</a></span>, <span class="author-span "> <a href="/author/jie-zhang">Jie Zhang</a></span>, <span class="author-span "> <a href="/author/jiamang-wang">Jiamang Wang</a></span>, <span class="author-span "> <a href="/author/jianbo-dong">Jianbo Dong</a></span>, <span class="author-span "> <a href="/author/yunlong-xu">Yunlong Xu</a></span>, <span class="author-span "> <a href="/author/yue-song">Yue Song</a></span>, <span class="author-span "> <a href="/author/yong-li">Yong Li</a></span>, <span class="author-span "> <a href="/author/di-zhang">Di Zhang</a></span>, <span class="author-span "> <a href="/author/wei-lin-1">Wei Lin</a></span>, <span class="author-span "> <a href="/author/lin-qu">Lin Qu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">However, we observe that GPU devices in training recommender systems are underutilized, and they cannot attain an expected throughput improvement as what it has achieved in CV and NLP areas.</p> <div class="sota"> </div> <p> <a href="/task/marketing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Marketing</span> </span> </a> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 157</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/picasso-unleashing-the-potential-of-gpu" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/picasso-unleashing-the-potential-of-gpu#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/dressi-a-hardware-agnostic-differentiable"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2204.01386.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/dressi-a-hardware-agnostic-differentiable">Dressi: A Hardware-Agnostic Differentiable Renderer with Reactive Shader Packing and Soft Rasterization</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/dressi-a-hardware-agnostic-differentiable#code">no code implementations</a> • <span class="author-name-text item-date-pub">4 Apr 2022</span> • <span class="author-span "> <a href="/author/yusuke-takimoto">Yusuke Takimoto</a></span>, <span class="author-span "> <a href="/author/hiroyuki-sato">Hiroyuki Sato</a></span>, <span class="author-span "> <a href="/author/hikari-takehara">Hikari Takehara</a></span>, <span class="author-span "> <a href="/author/keishiro-uragaki">Keishiro Uragaki</a></span>, <span class="author-span "> <a href="/author/takehiro-tawara">Takehiro Tawara</a></span>, <span class="author-span "> <a href="/author/xiao-liang">Xiao Liang</a></span>, <span class="author-span "> <a href="/author/kentaro-oku">Kentaro Oku</a></span>, <span class="author-span "> <a href="/author/wataru-kishimoto">Wataru Kishimoto</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">HardSoftRas, our novel rendering process, is designed for inverse rendering with a graphics pipeline.</p> <div class="sota"> </div> <p> <a href="/task/inverse-rendering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Inverse Rendering</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/dressi-a-hardware-agnostic-differentiable" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/dressi-a-hardware-agnostic-differentiable#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/apg-adaptive-parameter-generation-network-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/6a30e96d-3b05-4dd3-b7d5-a5735fe8ec94.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/apg-adaptive-parameter-generation-network-for">APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/apg-adaptive-parameter-generation-network-for#code">1 code implementation</a> • <span class="author-name-text item-date-pub">30 Mar 2022</span> • <span class="author-span "> <a href="/author/bencheng-yan">Bencheng Yan</a></span>, <span class="author-span "> <a href="/author/pengjie-wang">Pengjie Wang</a></span>, <span class="author-span "> <a href="/author/kai-zhang">Kai Zhang</a></span>, <span class="author-span "> <a href="/author/feng-li">Feng Li</a></span>, <span class="author-span "> <a href="/author/hongbo-deng">Hongbo Deng</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In many web applications, deep learning-based CTR prediction models (deep CTR models for short) are widely adopted.</p> <div class="sota"> </div> <p> <a href="/task/click-through-rate-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000029-2f4f416c.jpg"> <span>Click-Through Rate Prediction</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 948</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/apg-adaptive-parameter-generation-network-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/apg-adaptive-parameter-generation-network-for#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/amcad-adaptive-mixed-curvature-representation"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2203.14683.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/amcad-adaptive-mixed-curvature-representation">AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/amcad-adaptive-mixed-curvature-representation#code">no code implementations</a> • <span class="author-name-text item-date-pub">28 Mar 2022</span> • <span class="author-span "> <a href="/author/zhirong-xu">Zhirong Xu</a></span>, <span class="author-span "> <a href="/author/shiyang-wen">Shiyang Wen</a></span>, <span class="author-span "> <a href="/author/junshan-wang">Junshan Wang</a></span>, <span class="author-span "> <a href="/author/guojun-liu">Guojun Liu</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span "> <a href="/author/zhi-yang">Zhi Yang</a></span>, <span class="author-span "> <a href="/author/lei-ding">Lei Ding</a></span>, <span class="author-span "> <a href="/author/yan-zhang">Yan Zhang</a></span>, <span class="author-span "> <a href="/author/di-zhang">Di Zhang</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Moreover, to deploy AMCAD in Taobao, one of the largest ecommerce platforms with hundreds of million users, we design an efficient two-layer online retrieval framework for the task of graph based advertisement retrieval.</p> <div class="sota"> </div> <p> <a href="/task/graph-embedding"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/4867272e-8232-4786-b735-41b4dccb5adf.jpg"> <span>Graph Embedding</span> </span> </a> <a href="/task/information-retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001451-80b2d378.jpg"> <span>Information Retrieval</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/amcad-adaptive-mixed-curvature-representation#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/amcad-adaptive-mixed-curvature-representation" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/amcad-adaptive-mixed-curvature-representation#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/beat-a-large-scale-semantic-and-emotional"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/87bbe788-b325-4364-bad3-5d27f92f3fc7.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/beat-a-large-scale-semantic-and-emotional">BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/beat-a-large-scale-semantic-and-emotional#code">1 code implementation</a> • <span class="author-name-text item-date-pub">10 Mar 2022</span> • <span class="author-span "> <a href="/author/haiyang-liu">Haiyang Liu</a></span>, <span class="author-span "> <a href="/author/zihao-zhu">Zihao Zhu</a></span>, <span class="author-span "> <a href="/author/naoya-iwamoto">Naoya Iwamoto</a></span>, <span class="author-span "> <a href="/author/yichen-peng">Yichen Peng</a></span>, <span class="author-span "> <a href="/author/zhengqing-li">Zhengqing Li</a></span>, <span class="author-span "> <a href="/author/you-zhou">You Zhou</a></span>, <span class="author-span "> <a href="/author/elif-bozkurt">Elif Bozkurt</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Achieving realistic, vivid, and human-like synthesized conversational gestures conditioned on multi-modal data is still an unsolved problem due to the lack of available datasets, models and standard evaluation metrics.</p> <div class="sota"> <p> <a href="/sota/gesture-generation-on-beat"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/gesture-generation-on-beat-small_1e1d7d15.png"/> </a>  Ranked #1 on <a class="sota-task" href="/sota/gesture-generation-on-beat"> Gesture Generation on BEAT </a> </p> </div> <p> <a href="/task/gesture-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Gesture Generation</span> </span> </a> <a href="/task/gesture-recognition"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Gesture Recognition</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 997</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/beat-a-large-scale-semantic-and-emotional" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/beat-a-large-scale-semantic-and-emotional#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/asymptotically-unbiased-estimation-for"> <div class="item-image" style="background-image: url('data:image/jpeg;base64,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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/asymptotically-unbiased-estimation-for">Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/asymptotically-unbiased-estimation-for#code">1 code implementation</a> • <span class="author-name-text item-date-pub">14 Feb 2022</span> • <span class="author-span "> <a href="/author/yu-chen">Yu Chen</a></span>, <span class="author-span "> <a href="/author/jiaqi-jin">Jiaqi Jin</a></span>, <span class="author-span "> <a href="/author/hui-zhao">Hui Zhao</a></span>, <span class="author-span "> <a href="/author/pengjie-wang">Pengjie Wang</a></span>, <span class="author-span "> <a href="/author/guojun-liu">Guojun Liu</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Moreover, to estimate CVR upon the freshly observed but biased distribution with fake negatives, the importance sampling is widely used to reduce the distribution bias.</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 28</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/asymptotically-unbiased-estimation-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/asymptotically-unbiased-estimation-for#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/approximate-nearest-neighbor-search-under"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2202.10226.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/approximate-nearest-neighbor-search-under">Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/approximate-nearest-neighbor-search-under#code">no code implementations</a> • <span class="author-name-text item-date-pub">14 Feb 2022</span> • <span class="author-span "> <a href="/author/rihan-chen">Rihan Chen</a></span>, <span class="author-span "> <a href="/author/bin-liu">Bin Liu</a></span>, <span class="author-span "> <a href="/author/han-zhu">Han Zhu</a></span>, <span class="author-span "> <a href="/author/yaoxuan-wang">Yaoxuan Wang</a></span>, <span class="author-span "> <a href="/author/qi-li">Qi Li</a></span>, <span class="author-span "> <a href="/author/buting-ma">Buting Ma</a></span>, <span class="author-span "> <a href="/author/qingbo-hua">Qingbo Hua</a></span>, <span class="author-span "> <a href="/author/jun-jiang">Jun Jiang</a></span>, <span class="author-span "> <a href="/author/yunlong-xu">Yunlong Xu</a></span>, <span class="author-span "> <a href="/author/hongbo-deng">Hongbo Deng</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In this paper, we propose a novel method to extend ANN search to arbitrary matching functions, e. g., a deep neural network.</p> <div class="sota"> </div> <p> <a href="/task/graph-construction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>graph construction</span> </span> </a> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/approximate-nearest-neighbor-search-under#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/approximate-nearest-neighbor-search-under" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/approximate-nearest-neighbor-search-under#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/mbct-tree-based-feature-aware-binning-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2202.04348.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/mbct-tree-based-feature-aware-binning-for">MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/mbct-tree-based-feature-aware-binning-for#code">1 code implementation</a> • <span class="author-name-text item-date-pub">9 Feb 2022</span> • <span class="author-span "> <a href="/author/siguang-huang">Siguang Huang</a></span>, <span class="author-span "> <a href="/author/yunli-wang">Yunli Wang</a></span>, <span class="author-span "> <a href="/author/lili-mou">Lili Mou</a></span>, <span class="author-span "> <a href="/author/huayue-zhang">Huayue Zhang</a></span>, <span class="author-span "> <a href="/author/han-zhu">Han Zhu</a></span>, <span class="author-span "> <a href="/author/chuan-yu">Chuan Yu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In previous work, researchers have developed several calibration methods to post-process the outputs of a predictor to obtain calibrated values, such as binning and scaling methods.</p> <div class="sota"> </div> <p> <a href="/task/medical-diagnosis"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Medical Diagnosis</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 13</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/mbct-tree-based-feature-aware-binning-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/mbct-tree-based-feature-aware-binning-for#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/ukd-debiasing-conversion-rate-estimation-via"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2201.08024.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/ukd-debiasing-conversion-rate-estimation-via">UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/ukd-debiasing-conversion-rate-estimation-via#code">no code implementations</a> • <span class="author-name-text item-date-pub">20 Jan 2022</span> • <span class="author-span "> <a href="/author/zixuan-xu">Zixuan Xu</a></span>, <span class="author-span "> <a href="/author/penghui-wei">Penghui Wei</a></span>, <span class="author-span "> <a href="/author/weimin-zhang">Weimin Zhang</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Then a student model is trained on both clicked and unclicked ads with knowledge distillation, performing uncertainty modeling to alleviate the inherent noise in pseudo-labels.</p> <div class="sota"> </div> <p> <a href="/task/knowledge-distillation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Knowledge Distillation</span> </span> </a> <a href="/task/selection-bias"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Selection bias</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/ukd-debiasing-conversion-rate-estimation-via" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/ukd-debiasing-conversion-rate-estimation-via#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/leaving-no-one-behind-a-multi-scenario-multi"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2201.06814.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/leaving-no-one-behind-a-multi-scenario-multi">Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/leaving-no-one-behind-a-multi-scenario-multi#code">no code implementations</a> • <span class="author-name-text item-date-pub">18 Jan 2022</span> • <span class="author-span "> <a href="/author/qianqian-zhang">Qianqian Zhang</a></span>, <span class="author-span "> <a href="/author/xinru-liao">Xinru Liao</a></span>, <span class="author-span "> <a href="/author/quan-liu">Quan Liu</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Advertisers play an essential role in many e-commerce platforms like Taobao and Amazon.</p> <div class="sota"> </div> <p> <a href="/task/marketing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Marketing</span> </span> </a> <a href="/task/meta-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001088-6b0b3a7f_0bh9941.jpg"> <span>Meta-Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/leaving-no-one-behind-a-multi-scenario-multi" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/leaving-no-one-behind-a-multi-scenario-multi#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/adversarial-gradient-driven-exploration-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2112.11136.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/adversarial-gradient-driven-exploration-for">Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/adversarial-gradient-driven-exploration-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">21 Dec 2021</span> • <span class="author-span "> <a href="/author/kailun-wu">Kailun Wu</a></span>, <span class="author-span "> <a href="/author/zhangming-chan">Zhangming Chan</a></span>, <span class="author-span "> <a href="/author/weijie-bian">Weijie Bian</a></span>, <span class="author-span "> <a href="/author/lejian-ren">Lejian Ren</a></span>, <span class="author-span "> <a href="/author/shiming-xiang">Shiming Xiang</a></span>, <span class="author-span "> <a href="/author/shuguang-han">Shuguang Han</a></span>, <span class="author-span "> <a href="/author/hongbo-deng">Hongbo Deng</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">We further show that such a process is equivalent to adding an adversarial perturbation to the model input, and thereby name our proposed approach as an the Adversarial Gradient Driven Exploration (AGE).</p> <div class="sota"> </div> <p> <a href="/task/click-through-rate-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000029-2f4f416c.jpg"> <span>Click-Through Rate Prediction</span> </span> </a> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/adversarial-gradient-driven-exploration-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/adversarial-gradient-driven-exploration-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/characterizing-the-adversarial-vulnerability"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2111.04330.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/characterizing-the-adversarial-vulnerability">Characterizing the adversarial vulnerability of speech self-supervised learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/characterizing-the-adversarial-vulnerability#code">no code implementations</a> • <span class="author-name-text item-date-pub">8 Nov 2021</span> • <span class="author-span "> <a href="/author/haibin-wu">Haibin Wu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/xu-li">Xu Li</a></span>, <span class="author-span "> <a href="/author/xixin-wu">Xixin Wu</a></span>, <span class="author-span "> <a href="/author/hung-yi-lee">Hung-Yi Lee</a></span>, <span class="author-span "> <a href="/author/helen-meng">Helen Meng</a></span> </p> <p class="item-strip-abstract">As the paradigm of the self-supervised learning upstream model followed by downstream tasks arouses more attention in the speech community, characterizing the adversarial robustness of such paradigm is of high priority.</p> <div class="sota"> </div> <p> <a href="/task/adversarial-robustness"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Adversarial Robustness</span> </span> </a> <a href="/task/benchmarking"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Benchmarking</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/characterizing-the-adversarial-vulnerability#tasks"> <span class="badge badge-primary"> <b>+3</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/characterizing-the-adversarial-vulnerability" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/characterizing-the-adversarial-vulnerability#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/heterogeneous-graph-neural-networks-for-large"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2111.00926.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/heterogeneous-graph-neural-networks-for-large">Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/heterogeneous-graph-neural-networks-for-large#code">no code implementations</a> • <span class="author-name-text item-date-pub">1 Nov 2021</span> • <span class="author-span "> <a href="/author/zongtao-liu">Zongtao Liu</a></span>, <span class="author-span "> <a href="/author/bin-ma">Bin Ma</a></span>, <span class="author-span "> <a href="/author/quan-liu">Quan Liu</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">When speaking of sponsored search, bid keyword recommendation is the fundamental service.</p> <div class="sota"> </div> <p> <a href="/task/graph-neural-network"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Graph Neural Network</span> </span> </a> <a href="/task/marketing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Marketing</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/heterogeneous-graph-neural-networks-for-large#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/heterogeneous-graph-neural-networks-for-large" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/heterogeneous-graph-neural-networks-for-large#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/allocating-large-vocabulary-capacity-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/31f3a604-b329-456b-9ef3-78b04d3ed102.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/allocating-large-vocabulary-capacity-for">Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/allocating-large-vocabulary-capacity-for#code">2 code implementations</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2021-11"> EMNLP 2021 </a> </span> • <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/li-dong">Li Dong</a></span>, <span class="author-span "> <a href="/author/shaohan-huang">Shaohan Huang</a></span>, <span class="author-span "> <a href="/author/saksham-singhal">Saksham Singhal</a></span>, <span class="author-span "> <a href="/author/wanxiang-che">Wanxiang Che</a></span>, <span class="author-span "> <a href="/author/ting-liu">Ting Liu</a></span>, <span class="author-span "> <a href="/author/xia-song">Xia Song</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span> </p> <p class="item-strip-abstract">We find that many languages are under-represented in recent cross-lingual language models due to the limited vocabulary capacity.</p> <div class="sota"> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 641</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/allocating-large-vocabulary-capacity-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/allocating-large-vocabulary-capacity-for#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/binary-code-based-hash-embedding-for-web"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2109.02471.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/binary-code-based-hash-embedding-for-web">Binary Code based Hash Embedding for Web-scale Applications</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/binary-code-based-hash-embedding-for-web#code">no code implementations</a> • <span class="author-name-text item-date-pub">24 Aug 2021</span> • <span class="author-span "> <a href="/author/bencheng-yan">Bencheng Yan</a></span>, <span class="author-span "> <a href="/author/pengjie-wang">Pengjie Wang</a></span>, <span class="author-span "> <a href="/author/jinquan-liu">Jinquan Liu</a></span>, <span class="author-span "> <a href="/author/wei-lin-1">Wei Lin</a></span>, <span class="author-span "> <a href="/author/kuang-chih-lee">Kuang-Chih Lee</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In these applications, embedding learning of categorical features is crucial to the success of deep learning models.</p> <div class="sota"> </div> <p> <a href="/task/recommendation-systems"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000592-2508deea.jpg"> <span>Recommendation Systems</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/binary-code-based-hash-embedding-for-web" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/binary-code-based-hash-embedding-for-web#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/learning-effective-and-efficient-embedding"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2108.11513.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/learning-effective-and-efficient-embedding">Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/learning-effective-and-efficient-embedding#code">no code implementations</a> • <span class="author-name-text item-date-pub">24 Aug 2021</span> • <span class="author-span "> <a href="/author/bencheng-yan">Bencheng Yan</a></span>, <span class="author-span "> <a href="/author/pengjie-wang">Pengjie Wang</a></span>, <span class="author-span "> <a href="/author/kai-zhang">Kai Zhang</a></span>, <span class="author-span "> <a href="/author/wei-lin-1">Wei Lin</a></span>, <span class="author-span "> <a href="/author/kuang-chih-lee">Kuang-Chih Lee</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Each feature value is mapped to an embedding vector via an embedding learning process.</p> <div class="sota"> </div> <p> <a href="/task/architecture-search"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/ab71369b-c50a-4095-99ae-4df731cda975.jpg"> <span>Neural Architecture Search</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/learning-effective-and-efficient-embedding" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/learning-effective-and-efficient-embedding#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/efficient-spatio-temporal-recurrent-neural-1"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/pgr-0001797201-f3e87d0b.gif');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/efficient-spatio-temporal-recurrent-neural-1">Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/efficient-spatio-temporal-recurrent-neural-1#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/eccv-2020-8"> ECCV 2020 </a> </span> • <span class="author-span "> <a href="/author/zhihang-zhong">Zhihang Zhong</a></span>, <span class="author-span "> <a href="/author/ye-gao">Ye Gao</a></span>, <span class="author-span "> <a href="/author/yinqiang-zheng">Yinqiang Zheng</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/imari-sato">Imari Sato</a></span> </p> <p class="item-strip-abstract">Real-world video deblurring in real time still remains a challenging task due to the complexity of spatially and temporally varying blur itself and the requirement of low computational cost.</p> <div class="sota"> <p> <a href="/sota/deblurring-on-beam-splitter-deblurring-bsd"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/deblurring-on-beam-splitter-deblurring-bsd-small_b1a175c7.png"/> </a> Ranked #3 on <a href="/sota/deblurring-on-beam-splitter-deblurring-bsd"> Deblurring on Beam-Splitter Deblurring (BSD) </a> </p> </div> <p> <a href="/task/deblurring"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000014-82fe8b62.jpg"> <span>Deblurring</span> </span> </a> <a href="/task/image-deblurring"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Image Deblurring</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/efficient-spatio-temporal-recurrent-neural-1#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 319</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/efficient-spatio-temporal-recurrent-neural-1" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/efficient-spatio-temporal-recurrent-neural-1#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/xlm-e-cross-lingual-language-model-pre"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2106.16138.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/xlm-e-cross-lingual-language-model-pre">XLM-E: Cross-lingual Language Model Pre-training via ELECTRA</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/xlm-e-cross-lingual-language-model-pre#code">3 code implementations</a> • <span class="item-conference-link"> <a href="/conference/acl-2022-5"> ACL 2022 </a> </span> • <span class="author-span "> <a href="/author/zewen-chi">Zewen Chi</a></span>, <span class="author-span "> <a href="/author/shaohan-huang">Shaohan Huang</a></span>, <span class="author-span "> <a href="/author/li-dong">Li Dong</a></span>, <span class="author-span "> <a href="/author/shuming-ma">Shuming Ma</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/saksham-singhal">Saksham Singhal</a></span>, <span class="author-span "> <a href="/author/payal-bajaj">Payal Bajaj</a></span>, <span class="author-span "> <a href="/author/xia-song">Xia Song</a></span>, <span class="author-span "> <a href="/author/xian-ling-mao">Xian-Ling Mao</a></span>, <span class="author-span "> <a href="/author/heyan-huang">Heyan Huang</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span> </p> <p class="item-strip-abstract">In this paper, we introduce ELECTRA-style tasks to cross-lingual language model pre-training.</p> <div class="sota"> <p> <a href="/sota/zero-shot-cross-lingual-transfer-on-xtreme"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/zero-shot-cross-lingual-transfer-on-xtreme-small_d7a26766.png"/> </a>  Ranked #1 on <a class="sota-task" href="/sota/zero-shot-cross-lingual-transfer-on-xtreme"> Zero-Shot Cross-Lingual Transfer on XTREME </a> </p> </div> <p> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a href="/task/translation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Translation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/xlm-e-cross-lingual-language-model-pre#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 20,258</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/xlm-e-cross-lingual-language-model-pre" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/xlm-e-cross-lingual-language-model-pre#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/consistency-regularization-for-cross-lingual"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2106.08226.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/consistency-regularization-for-cross-lingual">Consistency Regularization for Cross-Lingual Fine-Tuning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/consistency-regularization-for-cross-lingual#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/acl-2021-5"> ACL 2021 </a> </span> • <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/li-dong">Li Dong</a></span>, <span class="author-span "> <a href="/author/shaohan-huang">Shaohan Huang</a></span>, <span class="author-span "> <a href="/author/wenhui-wang">Wenhui Wang</a></span>, <span class="author-span "> <a href="/author/zewen-chi">Zewen Chi</a></span>, <span class="author-span "> <a href="/author/saksham-singhal">Saksham Singhal</a></span>, <span class="author-span "> <a href="/author/wanxiang-che">Wanxiang Che</a></span>, <span class="author-span "> <a href="/author/ting-liu">Ting Liu</a></span>, <span class="author-span "> <a href="/author/xia-song">Xia Song</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span> </p> <p class="item-strip-abstract">Fine-tuning pre-trained cross-lingual language models can transfer task-specific supervision from one language to the others.</p> <div class="sota"> </div> <p> <a href="/task/machine-translation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000257-2b560008_M7RFnV9.jpg"> <span>Machine Translation</span> </span> </a> <a href="/task/question-answering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/56ae901a-265f-415f-b175-ce54133d648b.jpg"> <span>Question Answering</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/consistency-regularization-for-cross-lingual#tasks"> <span class="badge badge-primary"> <b>+3</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 50</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/consistency-regularization-for-cross-lingual" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/consistency-regularization-for-cross-lingual#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/a-cooperative-competitive-multi-agent"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2106.06224.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/a-cooperative-competitive-multi-agent">A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-cooperative-competitive-multi-agent#code">1 code implementation</a> • <span class="author-name-text item-date-pub">11 Jun 2021</span> • <span class="author-span "> <a href="/author/chao-wen">Chao Wen</a></span>, <span class="author-span "> <a href="/author/miao-xu">Miao Xu</a></span>, <span class="author-span "> <a href="/author/zhilin-zhang">Zhilin Zhang</a></span>, <span class="author-span "> <a href="/author/zhenzhe-zheng">Zhenzhe Zheng</a></span>, <span class="author-span "> <a href="/author/yuhui-wang">Yuhui Wang</a></span>, <span class="author-span "> <a href="/author/xiangyu-liu">Xiangyu Liu</a></span>, <span class="author-span "> <a href="/author/yu-rong">Yu Rong</a></span>, <span class="author-span "> <a href="/author/dong-xie">Dong Xie</a></span>, <span class="author-span "> <a href="/author/xiaoyang-tan">Xiaoyang Tan</a></span>, <span class="author-span "> <a href="/author/chuan-yu">Chuan Yu</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span "> <a href="/author/fan-wu">Fan Wu</a></span>, <span class="author-span "> <a href="/author/guihai-chen">Guihai Chen</a></span>, <span class="author-span "> <a href="/author/xiaoqiang-zhu">Xiaoqiang Zhu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Third, to deploy MAAB in the large-scale advertising system with millions of advertisers, we propose a mean-field approach.</p> <div class="sota"> </div> <p> <a href="/task/multi-agent-reinforcement-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Multi-agent Reinforcement Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 19</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-cooperative-competitive-multi-agent" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/a-cooperative-competitive-multi-agent#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/improving-pretrained-cross-lingual-language"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2106.06381.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/improving-pretrained-cross-lingual-language">Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/improving-pretrained-cross-lingual-language#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/acl-2021-5"> ACL 2021 </a> </span> • <span class="author-span "> <a href="/author/zewen-chi">Zewen Chi</a></span>, <span class="author-span "> <a href="/author/li-dong">Li Dong</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/shaohan-huang">Shaohan Huang</a></span>, <span class="author-span "> <a href="/author/xian-ling-mao">Xian-Ling Mao</a></span>, <span class="author-span "> <a href="/author/heyan-huang">Heyan Huang</a></span>, <span class="author-span "> <a href="/author/furu-wei">Furu Wei</a></span> </p> <p class="item-strip-abstract">The cross-lingual language models are typically pretrained with masked language modeling on multilingual text or parallel sentences.</p> <div class="sota"> </div> <p> <a href="/task/denoising"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/6c4d53f8-9c6d-47c8-80c7-1b8e1c0a7d42.jpg"> <span>Denoising</span> </span> </a> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/improving-pretrained-cross-lingual-language#tasks"> <span class="badge badge-primary"> <b>+4</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 36</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/improving-pretrained-cross-lingual-language" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/improving-pretrained-cross-lingual-language#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/multi-agent-cooperative-bidding-games-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2106.04075.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/multi-agent-cooperative-bidding-games-for">Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/multi-agent-cooperative-bidding-games-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">8 Jun 2021</span> • <span class="author-span "> <a href="/author/ziyu-guan">Ziyu Guan</a></span>, <span class="author-span "> <a href="/author/hongchang-wu">Hongchang Wu</a></span>, <span class="author-span "> <a href="/author/qingyu-cao">Qingyu Cao</a></span>, <span class="author-span "> <a href="/author/hao-liu-1">Hao liu</a></span>, <span class="author-span "> <a href="/author/wei-zhao">Wei Zhao</a></span>, <span class="author-span "> <a href="/author/sheng-li">Sheng Li</a></span>, <span class="author-span "> <a href="/author/cai-xu">Cai Xu</a></span>, <span class="author-span "> <a href="/author/guang-qiu">Guang Qiu</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Although a few studies use multi-agent reinforcement learning to set up a cooperative game, they still suffer the following drawbacks: (1) They fail to avoid collusion solutions where all the advertisers involved in an auction collude to bid an extremely low price on purpose.</p> <div class="sota"> </div> <p> <a href="/task/model-optimization"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Model Optimization</span> </span> </a> <a href="/task/multi-agent-reinforcement-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Multi-agent Reinforcement Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/multi-agent-cooperative-bidding-games-for" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/multi-agent-cooperative-bidding-games-for#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/explicit-semantic-cross-feature-learning-via"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2105.07752.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/explicit-semantic-cross-feature-learning-via">Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/explicit-semantic-cross-feature-learning-via#code">no code implementations</a> • <span class="author-name-text item-date-pub">17 May 2021</span> • <span class="author-span "> <a href="/author/feng-li">Feng Li</a></span>, <span class="author-span "> <a href="/author/bencheng-yan">Bencheng Yan</a></span>, <span class="author-span "> <a href="/author/qingqing-long">Qingqing Long</a></span>, <span class="author-span "> <a href="/author/pengjie-wang">Pengjie Wang</a></span>, <span class="author-span "> <a href="/author/wei-lin-1">Wei Lin</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Most of the existing methods adopt a DNN-based model to capture the cross features in an implicit manner.</p> <div class="sota"> </div> <p> <a href="/task/click-through-rate-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000029-2f4f416c.jpg"> <span>Click-Through Rate Prediction</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/explicit-semantic-cross-feature-learning-via" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/explicit-semantic-cross-feature-learning-via#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/towards-a-better-tradeoff-between"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2105.07706.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/towards-a-better-tradeoff-between">Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-a-better-tradeoff-between#code">no code implementations</a> • <span class="author-name-text item-date-pub">17 May 2021</span> • <span class="author-span "> <a href="/author/xu-ma">Xu Ma</a></span>, <span class="author-span "> <a href="/author/pengjie-wang">Pengjie Wang</a></span>, <span class="author-span "> <a href="/author/hui-zhao">Hui Zhao</a></span>, <span class="author-span "> <a href="/author/shaoguo-liu">Shaoguo Liu</a></span>, <span class="author-span "> <a href="/author/chuhan-zhao">Chuhan Zhao</a></span>, <span class="author-span "> <a href="/author/wei-lin-1">Wei Lin</a></span>, <span class="author-span "> <a href="/author/kuang-chih-lee">Kuang-Chih Lee</a></span>, <span class="author-span "> <a href="/author/jian-xu">Jian Xu</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In real-world search, recommendation, and advertising systems, the multi-stage ranking architecture is commonly adopted.</p> <div class="sota"> </div> <p> <a href="/task/feature-selection"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>feature selection</span> </span> </a> <a href="/task/re-ranking"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Re-Ranking</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/towards-a-better-tradeoff-between" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/towards-a-better-tradeoff-between#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/4dcomplete-non-rigid-motion-estimation-beyond"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/pgr-0001769195-36289100.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/4dcomplete-non-rigid-motion-estimation-beyond">4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/4dcomplete-non-rigid-motion-estimation-beyond#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/iccv-2021-1"> ICCV 2021 </a> </span> • <span class="author-span "> <a href="/author/yang-li">Yang Li</a></span>, <span class="author-span "> <a href="/author/hikari-takehara">Hikari Takehara</a></span>, <span class="author-span "> <a href="/author/takafumi-taketomi">Takafumi Taketomi</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/matthias-niessner-1">Matthias Nießner</a></span> </p> <p class="item-strip-abstract">Tracking non-rigidly deforming scenes using range sensors has numerous applications including computer vision, AR/VR, and robotics.</p> <div class="sota"> </div> <p> <a href="/task/motion-estimation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Motion Estimation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 310</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/4dcomplete-non-rigid-motion-estimation-beyond" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/4dcomplete-non-rigid-motion-estimation-beyond#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/tracking-air-pollution-in-china-near-real"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2103.06520.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/tracking-air-pollution-in-china-near-real">Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/tracking-air-pollution-in-china-near-real#code">no code implementations</a> • <span class="author-name-text item-date-pub">11 Mar 2021</span> • <span class="author-span "> <a href="/author/guannan-geng">Guannan Geng</a></span>, <span class="author-span "> <a href="/author/qingyang-xiao">Qingyang Xiao</a></span>, <span class="author-span "> <a href="/author/shigan-liu">Shigan Liu</a></span>, <span class="author-span "> <a href="/author/xiaodong-liu">Xiaodong Liu</a></span>, <span class="author-span "> <a href="/author/jing-cheng">Jing Cheng</a></span>, <span class="author-span "> <a href="/author/yixuan-zheng">Yixuan Zheng</a></span>, <span class="author-span "> <a href="/author/dan-tong">Dan Tong</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/yiran-peng">Yiran Peng</a></span>, <span class="author-span "> <a href="/author/xiaomeng-huang">Xiaomeng Huang</a></span>, <span class="author-span "> <a href="/author/kebin-he">Kebin He</a></span>, <span class="author-span "> <a href="/author/qiang-zhang">Qiang Zhang</a></span> </p> <p class="item-strip-abstract">Accordingly, a full-coverage high-resolution air pollutant dataset with timely updates and historical long-term records is essential to support both research and environmental management.</p> <div class="sota"> </div> <p> <a href="/task/management"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Management</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/tracking-air-pollution-in-china-near-real" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/tracking-air-pollution-in-china-near-real#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/global-daily-co-2-emissions-for-the-year-2020"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2103.02526.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/global-daily-co-2-emissions-for-the-year-2020">Global Daily CO$_2$ emissions for the year 2020</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/global-daily-co-2-emissions-for-the-year-2020#code">no code implementations</a> • <span class="author-name-text item-date-pub">3 Mar 2021</span> • <span class="author-span "> <a href="/author/zhu-liu">Zhu Liu</a></span>, <span class="author-span "> <a href="/author/zhu-deng">Zhu Deng</a></span>, <span class="author-span "> <a href="/author/philippe-ciais">Philippe Ciais</a></span>, <span class="author-span "> <a href="/author/jianguang-tan">Jianguang Tan</a></span>, <span class="author-span "> <a href="/author/biqing-zhu">Biqing Zhu</a></span>, <span class="author-span "> <a href="/author/steven-j-davis">Steven J. Davis</a></span>, <span class="author-span "> <a href="/author/robbie-andrew">Robbie Andrew</a></span>, <span class="author-span "> <a href="/author/olivier-boucher">Olivier Boucher</a></span>, <span class="author-span "> <a href="/author/simon-ben-arous">Simon Ben Arous</a></span>, <span class="author-span "> <a href="/author/pep-canadel">Pep Canadel</a></span>, <span class="author-span "> <a href="/author/xinyu-dou">Xinyu Dou</a></span>, <span class="author-span "> <a href="/author/pierre-friedlingstein">Pierre Friedlingstein</a></span>, <span class="author-span "> <a href="/author/pierre-gentine">Pierre Gentine</a></span>, <span class="author-span "> <a href="/author/rui-guo">Rui Guo</a></span>, <span class="author-span "> <a href="/author/chaopeng-hong">Chaopeng Hong</a></span>, <span class="author-span "> <a href="/author/robert-b-jackson">Robert B. Jackson</a></span>, <span class="author-span "> <a href="/author/daniel-m-kammen">Daniel M. Kammen</a></span>, <span class="author-span "> <a href="/author/piyu-ke">Piyu Ke</a></span>, <span class="author-span "> <a href="/author/corinne-le-quere">Corinne Le Quere</a></span>, <span class="author-span "> <a href="/author/crippa-monica">Crippa Monica</a></span>, <span class="author-span "> <a href="/author/greet-janssens-maenhout">Greet Janssens-Maenhout</a></span>, <span class="author-span "> <a href="/author/glen-peters">Glen Peters</a></span>, <span class="author-span "> <a href="/author/katsumasa-tanaka">Katsumasa Tanaka</a></span>, <span class="author-span "> <a href="/author/yilong-wang">Yilong Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/haiwang-zhong">Haiwang Zhong</a></span>, <span class="author-span "> <a href="/author/taochun-sun">Taochun Sun</a></span>, <span class="author-span "> <a href="/author/hans-joachim-schellnhuber">Hans Joachim Schellnhuber</a></span> </p> <p class="item-strip-abstract">That even substantial world-wide lockdowns of activity led to a one-time decline in global CO$_2$ emissions of only 5. 4% in one year highlights the significant challenges for climate change mitigation that we face in the post-COVID era.</p> <div class="sota"> </div> <p> <span class="badge badge-primary badge-primary-nohover">Atmospheric and Oceanic Physics</span> <span class="badge badge-primary badge-primary-nohover">General Economics</span> <span class="badge badge-primary badge-primary-nohover">Economics</span> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/global-daily-co-2-emissions-for-the-year-2020" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/global-daily-co-2-emissions-for-the-year-2020#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/document-modeling-with-graph-attention"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2005.05806.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/document-modeling-with-graph-attention">Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/document-modeling-with-graph-attention#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/acl-2020-6"> ACL 2020 </a> </span> • <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/haoyang-wen">Haoyang Wen</a></span>, <span class="author-span "> <a href="/author/yaobo-liang">Yaobo Liang</a></span>, <span class="author-span "> <a href="/author/nan-duan">Nan Duan</a></span>, <span class="author-span "> <a href="/author/wanxiang-che">Wanxiang Che</a></span>, <span class="author-span "> <a href="/author/daxin-jiang">Daxin Jiang</a></span>, <span class="author-span "> <a href="/author/ming-zhou">Ming Zhou</a></span>, <span class="author-span "> <a href="/author/ting-liu">Ting Liu</a></span> </p> <p class="item-strip-abstract">Natural Questions is a new challenging machine reading comprehension benchmark with two-grained answers, which are a long answer (typically a paragraph) and a short answer (one or more entities inside the long answer).</p> <div class="sota"> </div> <p> <a href="/task/graph-attention"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Graph Attention</span> </span> </a> <a href="/task/machine-reading-comprehension"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Machine Reading Comprehension</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/document-modeling-with-graph-attention#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 63</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/document-modeling-with-graph-attention" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/document-modeling-with-graph-attention#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/adversarial-multimodal-representation"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2003.07162.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/adversarial-multimodal-representation">Adversarial Multimodal Representation Learning for Click-Through Rate Prediction</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/adversarial-multimodal-representation#code">no code implementations</a> • <span class="author-name-text item-date-pub">7 Mar 2020</span> • <span class="author-span "> <a href="/author/xiang-li">Xiang Li</a></span>, <span class="author-span "> <a href="/author/chao-wang">Chao Wang</a></span>, <span class="author-span "> <a href="/author/jiwei-tan">Jiwei Tan</a></span>, <span class="author-span "> <a href="/author/xiaoyi-zeng">Xiaoyi Zeng</a></span>, <span class="author-span "> <a href="/author/dan-ou">Dan Ou</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">Finally, we achieve the multimodal item representations by combining both modality-specific and modality-invariant representations.</p> <div class="sota"> </div> <p> <a href="/task/click-through-rate-prediction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000029-2f4f416c.jpg"> <span>Click-Through Rate Prediction</span> </span> </a> <a href="/task/representation-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000228-3131cfbf_nx72Tly.jpg"> <span>Representation Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/adversarial-multimodal-representation" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/adversarial-multimodal-representation#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/rpm-oriented-query-rewriting-framework-for-e"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1910.12527.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/rpm-oriented-query-rewriting-framework-for-e">RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/rpm-oriented-query-rewriting-framework-for-e#code">no code implementations</a> • <span class="author-name-text item-date-pub">28 Oct 2019</span> • <span class="author-span "> <a href="/author/xiuying-chen">Xiuying Chen</a></span>, <span class="author-span "> <a href="/author/daorui-xiao">Daorui Xiao</a></span>, <span class="author-span "> <a href="/author/shen-gao">Shen Gao</a></span>, <span class="author-span "> <a href="/author/guojun-liu">Guojun Liu</a></span>, <span class="author-span "> <a href="/author/wei-lin">Wei. Lin</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/dongyan-zhao">Dongyan Zhao</a></span>, <span class="author-span "> <a href="/author/rui-yan">Rui Yan</a></span> </p> <p class="item-strip-abstract">Sponsored search optimizes revenue and relevance, which is estimated by Revenue Per Mille (RPM).</p> <div class="sota"> </div> <p> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/rpm-oriented-query-rewriting-framework-for-e" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/rpm-oriented-query-rewriting-framework-for-e#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/a-bi-diffusion-based-layer-wise-sampling"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/917464.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/a-bi-diffusion-based-layer-wise-sampling">A bi-diffusion based layer-wise sampling method for deep learning in large graphs</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-bi-diffusion-based-layer-wise-sampling#code">no code implementations</a> • <span class="author-name-text item-date-pub">25 Sep 2019</span> • <span class="author-span "> <a href="/author/yu-he">Yu He</a></span>, <span class="author-span "> <a href="/author/shiyang-wen">Shiyang Wen</a></span>, <span class="author-span "> <a href="/author/wenjin-wu">Wenjin Wu</a></span>, <span class="author-span "> <a href="/author/yan-zhang">Yan Zhang</a></span>, <span class="author-span "> <a href="/author/siran-yang">Siran Yang</a></span>, <span class="author-span "> <a href="/author/yuan-wei">Yuan Wei</a></span>, <span class="author-span "> <a href="/author/di-zhang">Di Zhang</a></span>, <span class="author-span "> <a href="/author/guojie-song-1">Guojie Song</a></span>, <span class="author-span "> <a href="/author/wei-lin-1">Wei Lin</a></span>, <span class="author-span "> <a href="/author/liang-wang">Liang Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">The Graph Convolutional Network (GCN) and its variants are powerful models for graph representation learning and have recently achieved great success on many graph-based applications.</p> <div class="sota"> </div> <p> <a href="/task/graph-representation-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Graph Representation Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-bi-diffusion-based-layer-wise-sampling" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/a-bi-diffusion-based-layer-wise-sampling#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/a-minimax-game-for-instance-based-selective"> <div class="item-image" style="background-image: url('data:image/jpeg;base64,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</div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/a-minimax-game-for-instance-based-selective">A Minimax Game for Instance based Selective Transfer Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-minimax-game-for-instance-based-selective#code">no code implementations</a> • <span class="author-name-text item-date-pub">1 Jul 2019</span> • <span class="author-span "> <a href="/author/bo-wang-1">Bo wang</a></span>, <span class="author-span "> <a href="/author/minghui-qiu">Minghui Qiu</a></span>, <span class="author-span "> <a href="/author/xisen-wang">Xisen Wang</a></span>, <span class="author-span "> <a href="/author/yaliang-li">Yaliang Li</a></span>, <span class="author-span "> <a href="/author/yu-gong">Yu Gong</a></span>, <span class="author-span "> <a href="/author/xiaoyi-zeng">Xiaoyi Zeng</a></span>, <span class="author-span "> <a href="/author/jung-huang">Jung Huang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/deng-cai">Deng Cai</a></span>, <span class="author-span "> <a href="/author/jingren-zhou">Jingren Zhou</a></span> </p> <p class="item-strip-abstract">To the best of our knowledge, this is the first to build a minimax game based model for selective transfer learning.</p> <div class="sota"> </div> <p> <a href="/task/text-retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Text Retrieval</span> </span> </a> <a href="/task/transfer-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000118-7e49033f_1eFA0SR.jpg"> <span>Transfer Learning</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-minimax-game-for-instance-based-selective" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/a-minimax-game-for-instance-based-selective#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/aggregating-e-commerce-search-results-from"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1902.08882.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/aggregating-e-commerce-search-results-from">Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/aggregating-e-commerce-search-results-from#code">no code implementations</a> • <span class="author-name-text item-date-pub">24 Feb 2019</span> • <span class="author-span "> <a href="/author/ryuichi-takanobu">Ryuichi Takanobu</a></span>, <span class="author-span "> <a href="/author/tao-zhuang">Tao Zhuang</a></span>, <span class="author-span "> <a href="/author/minlie-huang">Minlie Huang</a></span>, <span class="author-span "> <a href="/author/jun-feng">Jun Feng</a></span>, <span class="author-span "> <a href="/author/haihong-tang">Haihong Tang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span> </p> <p class="item-strip-abstract">In this paper, we investigate the task of aggregating search results from heterogeneous sources in an E-commerce environment.</p> <div class="sota"> </div> <p> <a href="/task/hierarchical-reinforcement-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Hierarchical Reinforcement Learning</span> </span> </a> <a href="/task/reinforcement-learning-2"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>reinforcement-learning</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/aggregating-e-commerce-search-results-from#tasks"> <span class="badge badge-primary"> <b>+4</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/aggregating-e-commerce-search-results-from" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/aggregating-e-commerce-search-results-from#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/an-amr-aligner-tuned-by-transition-based"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1810.03541.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/an-amr-aligner-tuned-by-transition-based">An AMR Aligner Tuned by Transition-based Parser</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/an-amr-aligner-tuned-by-transition-based#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/emnlp-2018-10"> EMNLP 2018 </a> </span> • <span class="author-span "> <a href="/author/yijia-liu">Yijia Liu</a></span>, <span class="author-span "> <a href="/author/wanxiang-che">Wanxiang Che</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/bing-qin">Bing Qin</a></span>, <span class="author-span "> <a href="/author/ting-liu">Ting Liu</a></span> </p> <p class="item-strip-abstract">In this paper, we propose a new rich resource enhanced AMR aligner which produces multiple alignments and a new transition system for AMR parsing along with its oracle parser.</p> <div class="sota"> <p> <a href="/sota/amr-parsing-on-ldc2014t12"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/amr-parsing-on-ldc2014t12-small_1960c25f.png"/> </a> Ranked #2 on <a href="/sota/amr-parsing-on-ldc2014t12"> AMR Parsing on LDC2014T12: </a> </p> </div> <p> <a href="/task/amr-parsing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>AMR Parsing</span> </span> </a> <a href="/task/pos"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>POS</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/an-amr-aligner-tuned-by-transition-based#tasks"> <span class="badge badge-primary"> <b>+1</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 22</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/an-amr-aligner-tuned-by-transition-based" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/an-amr-aligner-tuned-by-transition-based#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/towards-better-ud-parsing-deep-contextualized"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1807.03121.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/towards-better-ud-parsing-deep-contextualized">Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/towards-better-ud-parsing-deep-contextualized#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/conll-2018-10"> CONLL 2018 </a> </span> • <span class="author-span "> <a href="/author/wanxiang-che">Wanxiang Che</a></span>, <span class="author-span "> <a href="/author/yijia-liu">Yijia Liu</a></span>, <span class="author-span "> <a href="/author/yuxuan-wang">Yuxuan Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/ting-liu">Ting Liu</a></span> </p> <p class="item-strip-abstract">This paper describes our system (HIT-SCIR) submitted to the CoNLL 2018 shared task on Multilingual Parsing from Raw Text to Universal Dependencies.</p> <div class="sota"> <p> <a href="/sota/dependency-parsing-on-universal-dependencies"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/dependency-parsing-on-universal-dependencies-small_75b64fb7.png"/> </a> Ranked #3 on <a href="/sota/dependency-parsing-on-universal-dependencies"> Dependency Parsing on Universal Dependencies </a> </p> </div> <p> <a href="/task/dependency-parsing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Dependency Parsing</span> </span> </a> <a href="/task/word-embeddings"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/63002230-3620-4bf3-b4d9-773107b1c0b8.jpg"> <span>Word Embeddings</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary"><span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 1,463</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/towards-better-ud-parsing-deep-contextualized" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/towards-better-ud-parsing-deep-contextualized#code" class="badge badge-dark "> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/the-hit-scir-system-for-end-to-end-parsing-of"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/70195.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/the-hit-scir-system-for-end-to-end-parsing-of">The HIT-SCIR System for End-to-End Parsing of Universal Dependencies</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/the-hit-scir-system-for-end-to-end-parsing-of#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/conll-2017-8"> CONLL 2017 </a> </span> • <span class="author-span "> <a href="/author/wanxiang-che">Wanxiang Che</a></span>, <span class="author-span "> <a href="/author/jiang-guo">Jiang Guo</a></span>, <span class="author-span "> <a href="/author/yuxuan-wang">Yuxuan Wang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/huaipeng-zhao">Huaipeng Zhao</a></span>, <span class="author-span "> <a href="/author/yang-liu">Yang Liu</a></span>, <span class="author-span "> <a href="/author/dechuan-teng">Dechuan Teng</a></span>, <span class="author-span "> <a href="/author/ting-liu">Ting Liu</a></span> </p> <p class="item-strip-abstract">Our system includes three pipelined components: \textit{tokenization}, \textit{Part-of-Speech} (POS) \textit{tagging} and \textit{dependency parsing}.</p> <div class="sota"> </div> <p> <a href="/task/dependency-parsing"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Dependency Parsing</span> </span> </a> <a href="/task/information-retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001451-80b2d378.jpg"> <span>Information Retrieval</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/the-hit-scir-system-for-end-to-end-parsing-of#tasks"> <span class="badge badge-primary"> <b>+4</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/the-hit-scir-system-for-end-to-end-parsing-of" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/the-hit-scir-system-for-end-to-end-parsing-of#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/chinese-grammatical-error-diagnosis-with-long"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/73856.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/chinese-grammatical-error-diagnosis-with-long">Chinese Grammatical Error Diagnosis with Long Short-Term Memory Networks</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/chinese-grammatical-error-diagnosis-with-long#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/ws-2016-12"> WS 2016 </a> </span> • <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/wanxiang-che">Wanxiang Che</a></span>, <span class="author-span "> <a href="/author/jiang-guo">Jiang Guo</a></span>, <span class="author-span "> <a href="/author/ting-liu">Ting Liu</a></span> </p> <p class="item-strip-abstract">This paper introduces our Chinese Grammatical Error Diagnosis (CGED) system in the NLP-TEA-3 shared task for CGED.</p> <div class="sota"> </div> <p> <a href="/task/information-retrieval"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000001451-80b2d378.jpg"> <span>Information Retrieval</span> </span> </a> <a href="/task/language-modelling"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000267-8df06634.jpg"> <span>Language Modelling</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/chinese-grammatical-error-diagnosis-with-long#tasks"> <span class="badge badge-primary"> <b>+2</b> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/chinese-grammatical-error-diagnosis-with-long" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/chinese-grammatical-error-diagnosis-with-long#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/robust-3d-features-for-matching-between"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/89328.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/robust-3d-features-for-matching-between">Robust 3D Features for Matching between Distorted Range Scans Captured by Moving Systems</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/robust-3d-features-for-matching-between#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/cvpr-2014-6"> CVPR 2014 </a> </span> • <span class="author-span "> <a href="/author/xiangqi-huang">Xiangqi Huang</a></span>, <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/takeshi-masuda">Takeshi Masuda</a></span>, <span class="author-span "> <a href="/author/katsushi-ikeuchi">Katsushi Ikeuchi</a></span> </p> <p class="item-strip-abstract">Our feature description is designed as two steps: 1) we normalize the detected local regions to canonical shapes for robust matching; 2) we encode each key point with multiple vectors at different Morse function values.</p> <div class="sota"> </div> <p> <a href="/task/3d-reconstruction"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/task-0000000780-3d4e01ee.jpg"> <span>3D Reconstruction</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/robust-3d-features-for-matching-between" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/robust-3d-features-for-matching-between#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> <div class="row infinite-item item paper-card">  <div class="col-lg-3 item-image-col"> <a href="/paper/beyond-point-clouds-scene-understanding-by"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/88885.jpg');"> </div> </a> </div> <div class="col-lg-9 item-col"> <div class="row"> <div class="col-lg-9 item-content"> <h1><a href="/paper/beyond-point-clouds-scene-understanding-by">Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/beyond-point-clouds-scene-understanding-by#code">no code implementations</a> • <span class="item-conference-link"> <a href="/conference/cvpr-2013-6"> CVPR 2013 </a> </span> • <span class="author-span author-matched"> <a href="/author/bo-zheng">Bo Zheng</a></span>, <span class="author-span "> <a href="/author/yibiao-zhao">Yibiao Zhao</a></span>, <span class="author-span "> <a href="/author/joey-c-yu">Joey C. Yu</a></span>, <span class="author-span "> <a href="/author/katsushi-ikeuchi">Katsushi Ikeuchi</a></span>, <span class="author-span "> <a href="/author/song-chun-zhu-1">Song-Chun Zhu</a></span> </p> <p class="item-strip-abstract">In this paper, we present an approach for scene understanding by reasoning physical stability of objects from point cloud.</p> <div class="sota"> </div> <p> <a href="/task/scene-understanding"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Scene Understanding</span> </span> </a> <a href="/task/semantic-segmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/0d834282-fd21-4e57-be69-d5c2ed538690.jpg"> <span>Semantic Segmentation</span> </span> </a> </p> </div> <div class="col-lg-3 item-interact text-center"> <div class="entity-stars"> <span class="badge badge-secondary" style="border:none;background-color:transparent"> </span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/beyond-point-clouds-scene-understanding-by" class="badge badge-light "> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> Paper </a> <br/> <a href="/paper/beyond-point-clouds-scene-understanding-by#code" class="badge badge-dark badge-nocode "> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add Code </a> <br/> </div> </div> </div> </div> </div> </div> <div class="loading" style="display: none;"> <div class="loader-ellips infinite-scroll-request"> <span class="loader-ellips__dot"></span> <span class="loader-ellips__dot"></span> <span class="loader-ellips__dot"></span> <span class="loader-ellips__dot"></span> </div> </div> <div class="search-submit-paper text-center" style="font-size:16px;padding-bottom:30px;"> Cannot find the paper you are looking for? 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