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Sheng Shi | Papers With Code

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btn-outline-secondary dropdown-toggle" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Date Published <span class=" icon-wrapper icon-fa icon-fa-regular" data-name="chevron-down"><svg viewBox="0 0 448 513.795" xmlns="http://www.w3.org/2000/svg"><path d="M441.9 168.28c4.7 4.7 4.7 12.3 0 17l-209.4 209.4c-4.7 4.7-12.3 4.7-17 0L6.1 185.28c-4.7-4.7-4.7-12.3 0-17l19.8-19.8c4.7-4.7 12.3-4.7 17 0L224 329.18l181.1-180.7c4.701-4.7 12.302-4.7 17 0z"/></svg></span> </button> <div class="dropdown-menu" aria-labelledby="btnGroupDrop1"> <a class="dropdown-item" href="?q=author%3ASheng+Shi&amp;order_by=date">Date Published</a> <a class="dropdown-item" href="?q=author%3ASheng+Shi&amp;order_by=stars">Github Stars</a> </div> </div> <a href="?q=author%3ASheng+Shi&amp;order=asc" type="button" class="btn btn-outline-secondary"> <span class=" icon-wrapper icon-fa icon-fa-regular" data-name="arrow-down"><svg viewBox="0 0 448 513.795" xmlns="http://www.w3.org/2000/svg"><path d="M441.9 251.08c4.7 4.7 4.7 12.3 0 17l-209.4 209.4c-4.7 4.7-12.3 4.7-17 0L6.1 268.08c-4.7-4.7-4.7-12.3 0-17l19.8-19.8c4.7-4.7 12.3-4.7 17 0L198 386.38V44.98c0-6.599 5.401-12 12-12h28c6.6 0 12 5.401 12 12v341.4l155.1-155.1c4.701-4.7 12.302-4.7 17 0z"/></svg></span> </a> </div> </div> </div> </div> <div class="infinite-container text-center"> <div class="row infinite-item item paper-card"> <!-- 2462751 --> <div class="col-lg-3 item-image-col"> <a href="/paper/joyvasa-portrait-and-animal-image-animation"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/papergithubrepo/90de70c1-33fd-429f-893a-96521666ed7c.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/joyvasa-portrait-and-animal-image-animation">JoyVASA: Portrait and Animal Image Animation with Diffusion-Based Audio-Driven Facial Dynamics and Head Motion Generation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/joyvasa-portrait-and-animal-image-animation#code">1 code implementation</a> • <span class="author-name-text item-date-pub">14 Nov 2024</span> • <span class="author-span "> <a href="/author/xuyang-cao">Xuyang Cao</a></span>, <span class="author-span "> <a href="/author/guoxin-wang">Guoxin Wang</a></span>, <span class="author-span author-matched"> <a href="/author/sheng-shi">Sheng Shi</a></span>, <span class="author-span "> <a href="/author/jun-zhao">Jun Zhao</a></span>, <span class="author-span "> <a href="/author/yang-yao">Yang Yao</a></span>, <span class="author-span "> <a href="/author/jintao-fei">Jintao Fei</a></span>, <span class="author-span "> <a href="/author/minyu-gao">Minyu Gao</a></span> </p> <p class="item-strip-abstract">Specifically, in the first stage, we introduce a decoupled facial representation framework that separates dynamic facial expressions from static 3D facial representations.</p> <div class="sota"> </div> <p> <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 href="/task/motion-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Motion Generation</span> </span> </a> <a style="position: relative; top: -2px;" href="/paper/joyvasa-portrait-and-animal-image-animation#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> 396</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/joyvasa-portrait-and-animal-image-animation" 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/joyvasa-portrait-and-animal-image-animation#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 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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/joyhallo-digital-human-model-for-mandarin">JoyHallo: Digital human model for Mandarin</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/joyhallo-digital-human-model-for-mandarin#code">no code implementations</a> • <span class="author-name-text item-date-pub">20 Sep 2024</span> • <span class="author-span author-matched"> <a href="/author/sheng-shi">Sheng Shi</a></span>, <span class="author-span "> <a href="/author/xuyang-cao">Xuyang Cao</a></span>, <span class="author-span "> <a href="/author/jun-zhao">Jun Zhao</a></span>, <span class="author-span "> <a href="/author/guoxin-wang">Guoxin Wang</a></span> </p> <p class="item-strip-abstract">In audio-driven video generation, creating Mandarin videos presents significant challenges.</p> <div class="sota"> </div> <p> <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> <a href="/task/video-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/11ba3d1a-5ca7-459a-a0dd-658050e2c75b.gif"> <span>Video 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">&nbsp;</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/joyhallo-digital-human-model-for-mandarin" 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/joyhallo-digital-human-model-for-mandarin#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"> <!-- None --> <div class="col-lg-3 item-image-col"> <a href="/paper/a-bi-pyramid-multimodal-fusion-method-for-the"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2401.07571.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-pyramid-multimodal-fusion-method-for-the">A Bi-Pyramid Multimodal Fusion Method for the Diagnosis of Bipolar Disorders</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-bi-pyramid-multimodal-fusion-method-for-the#code">no code implementations</a> • <span class="author-name-text item-date-pub">15 Jan 2024</span> • <span class="author-span "> <a href="/author/guoxin-wang">Guoxin Wang</a></span>, <span class="author-span author-matched"> <a href="/author/sheng-shi">Sheng Shi</a></span>, <span class="author-span "> <a href="/author/shan-an">Shan An</a></span>, <span class="author-span "> <a href="/author/fengmei-fan">Fengmei Fan</a></span>, <span class="author-span "> <a href="/author/wenshu-ge">Wenshu Ge</a></span>, <span class="author-span "> <a href="/author/qi-wang">Qi Wang</a></span>, <span class="author-span "> <a href="/author/feng-yu">Feng Yu</a></span>, <span class="author-span "> <a href="/author/zhiren-wang">Zhiren Wang</a></span> </p> <p class="item-strip-abstract">Previous research on the diagnosis of Bipolar disorder has mainly focused on resting-state functional magnetic resonance imaging.</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" style="border:none;background-color:transparent">&nbsp;</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-bi-pyramid-multimodal-fusion-method-for-the" 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-pyramid-multimodal-fusion-method-for-the#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"> <!-- 2135817 --> <div class="col-lg-3 item-image-col"> <a href="/paper/again-adversarial-training-with-attribution"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1210436.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/again-adversarial-training-with-attribution">AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/again-adversarial-training-with-attribution#code">1 code implementation</a> • <span class="item-conference-link"> <a href="/conference/cvpr-2023-1"> CVPR 2023 </a> </span> • <span class="author-span "> <a href="/author/shenglin-yin">Shenglin Yin</a></span>, <span class="author-span "> <a href="/author/kelu-yao">Kelu Yao</a></span>, <span class="author-span author-matched"> <a href="/author/sheng-shi">Sheng Shi</a></span>, <span class="author-span "> <a href="/author/yangzhou-du">Yangzhou Du</a></span>, <span class="author-span "> <a href="/author/zhen-xiao">Zhen Xiao</a></span> </p> <p class="item-strip-abstract">To this end, compared with standard DNNs, we discover that the generalization gap of adversarially trained DNNs is caused by the smaller attribution span on the input image.</p> <div class="sota"> </div> <p> <a href="/task/diversity"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Diversity</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/again-adversarial-training-with-attribution" 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/again-adversarial-training-with-attribution#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"> <!-- 2064483 --> <div class="col-lg-3 item-image-col"> <a href="/paper/window-normalization-enhancing-point-cloud"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2212.02287.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/window-normalization-enhancing-point-cloud">Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/window-normalization-enhancing-point-cloud#code">1 code implementation</a> • <span class="author-name-text item-date-pub">5 Dec 2022</span> • <span class="author-span "> <a href="/author/qi-wang">Qi Wang</a></span>, <span class="author-span author-matched"> <a href="/author/sheng-shi">Sheng Shi</a></span>, <span class="author-span "> <a href="/author/jiahui-li">Jiahui Li</a></span>, <span class="author-span "> <a href="/author/wuming-jiang">Wuming Jiang</a></span>, <span class="author-span "> <a href="/author/xiangde-zhang">Xiangde Zhang</a></span> </p> <p class="item-strip-abstract">Existing methods are limited by the inconsistent point densities of different parts in the point cloud.</p> <div class="sota"> <p> <a href="/sota/semantic-segmentation-on-s3dis"> <img style="height:20px;width:35px;position:relative;top:1px;" src="https://production-media.paperswithcode.com/sota-thumbs/semantic-segmentation-on-s3dis-small_6abbc753.png"/> </a> Ranked #6 on <a href="/sota/semantic-segmentation-on-s3dis"> Semantic Segmentation on S3DIS </a> </p> </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/window-normalization-enhancing-point-cloud" 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/window-normalization-enhancing-point-cloud#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"> <!-- None --> <div class="col-lg-3 item-image-col"> <a href="/paper/an-extension-of-lime-with-improvement-of"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2004.12277.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-extension-of-lime-with-improvement-of">An Extension of LIME with Improvement of Interpretability and Fidelity</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/an-extension-of-lime-with-improvement-of#code">no code implementations</a> • <span class="author-name-text item-date-pub">26 Apr 2020</span> • <span class="author-span author-matched"> <a href="/author/sheng-shi">Sheng Shi</a></span>, <span class="author-span "> <a href="/author/yangzhou-du">Yangzhou Du</a></span>, <span class="author-span "> <a href="/author/wei-fan">Wei Fan</a></span> </p> <p class="item-strip-abstract">As an extension of LIME, this paper proposes an high-interpretability and high-fidelity local explanation method, known as Local Explanation using feature Dependency Sampling and Nonlinear Approximation (LEDSNA).</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">&nbsp;</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/an-extension-of-lime-with-improvement-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/an-extension-of-lime-with-improvement-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"> <!-- None --> <div class="col-lg-3 item-image-col"> <a href="/paper/a-modified-perturbed-sampling-method-for"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/2002.07434.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-modified-perturbed-sampling-method-for">A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/a-modified-perturbed-sampling-method-for#code">no code implementations</a> • <span class="author-name-text item-date-pub">18 Feb 2020</span> • <span class="author-span author-matched"> <a href="/author/sheng-shi">Sheng Shi</a></span>, <span class="author-span "> <a href="/author/xinfeng-zhang">Xinfeng Zhang</a></span>, <span class="author-span "> <a href="/author/wei-fan">Wei Fan</a></span> </p> <p class="item-strip-abstract">Explainability is a gateway between Artificial Intelligence and society as the current popular deep learning models are generally weak in explaining the reasoning process and prediction results.</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> </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">&nbsp;</span> </div> <div class="entity" style="margin-bottom: 20px;"> <a href="/paper/a-modified-perturbed-sampling-method-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/a-modified-perturbed-sampling-method-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"> <!-- None --> <div class="col-lg-3 item-image-col"> <a href="/paper/explaining-the-predictions-of-any-image"> <div class="item-image" style="background-image: url('https://production-media.paperswithcode.com/thumbnails/paper/1911.01058.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/explaining-the-predictions-of-any-image">Explaining the Predictions of Any Image Classifier via Decision Trees</a></h1> <p class="author-section" style="padding-top:2px"> <a href="/paper/explaining-the-predictions-of-any-image#code">no code implementations</a> • <span class="author-name-text item-date-pub">4 Nov 2019</span> • <span class="author-span author-matched"> <a href="/author/sheng-shi">Sheng Shi</a></span>, <span class="author-span "> <a href="/author/xinfeng-zhang">Xinfeng Zhang</a></span>, <span class="author-span "> <a href="/author/wei-fan">Wei Fan</a></span> </p> <p class="item-strip-abstract">Despite outstanding contribution to the significant progress of Artificial Intelligence (AI), deep learning models remain mostly black boxes, which are extremely weak in explainability of the reasoning process and prediction results.</p> <div class="sota"> </div> <p> </p> 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