NeurIPS 2024 - Microsoft Research

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pl-0 col-12 active show" id="overview" data-bi-aN="Overview" > <p>Microsoft is a proud sponsor of the <a class="msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall" href="https://neurips.cc/Conferences/2024" rel="noreferrer noopener" target="_blank">38th Conference on Neural Information Processing Systems<span class="sr-only"> (opens in new tab)</span></a> (NeurIPS). This interdisciplinary conference brings together researchers in machine learning, neuroscience, statistics, optimization, computer vision, natural language processing, life sciences, natural sciences, social sciences, and other adjacent fields.</p> <p>We are pleased to share Microsoft has over 100 accepted papers at this year’s conference. Stop by our booth (#445) toward the back of hall A to talk to our team, learn more about research at Microsoft, and explore our open career positions.</p> <p><strong>Invited Keynote</strong></p> <p>Congratulations to <a href="https://www.microsoft.com/en-us/research/people/lidongz/">Lidong Zhou</a>, who has been selected as a keynote speaker. Lidong will speak on co-innovation of AI and Systems.</p> <p>Are you interested in being contacted for Microsoft career opportunities? Share your contact details here: <a class="msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall" href="https://forms.office.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR_IIIGgraKdEniGxBWyWXn5UMFhGTlIxM1NaTjVPNjNGVjBKOTFDRlU3SC4u&origin=QRCode" target="_blank" rel="noreferrer noopener">Recruiting at Microsoft – NeurIPS 2024<span class="sr-only"> (opens in new tab)</span></a></p> <p><strong>Orals</strong></p> <ul class="wp-block-list"> <li><a href="https://www.microsoft.com/en-us/research/publication/cvqa-culturally-diverse-multilingual-visual-question-answering-benchmark/">CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark</a>: Pranjal Chitale</li> <li><a href="https://www.microsoft.com/en-us/research/publication/not-all-tokens-are-what-you-need-for-pretraining/">Not All Tokens Are What You Need for Pretraining</a>: Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Jian Jiao, Nan Duan, Weizhu Chen</li> <li><a href="https://www.microsoft.com/en-us/research/publication/reinforcement-learning-under-latent-dynamics-toward-statistical-and-algorithmic-modularity/">Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity</a>: Dylan J Foster, Akshay Krishnamurthy</li> <li><a href="https://www.microsoft.com/en-us/research/publication/vasa-1-lifelike-audio-driven-talking-faces-generated-in-real-time/">VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time</a>: Sicheng Xu, Guojun Chen, Yu-Xiao Guo, Jiaolong Yang, Chong Li, Zhenyu Zang, Yizhong Zhang, Xin Tong, Baining Gu</li> <li><a href="https://www.microsoft.com/en-us/research/publication/you-only-cache-once-decoder-decoder-architectures-for-language-models/">You Only Cache Once: Decoder-Decoder Architectures for Language Models</a>: Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Quanlu Zhang, Furu Wei</li> </ul> <p><strong>Spotlight Sessions</strong></p> <ul class="wp-block-list"> <li><a href="https://www.microsoft.com/en-us/research/publication/a-study-of-plasticity-loss-in-on-policy-deep-reinforcement-learning/">A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning</a>: Jordan Ash</li> <li><a href="https://www.microsoft.com/en-us/research/publication/advancing-spiking-neural-networks-for-sequential-modeling-with-central-pattern-generators/">Advancing Spiking Neural Networks for Sequential Modeling through Central Pattern Generators</a>: Dongqi Han, Yansen Wang</li> <li><a href="https://www.microsoft.com/en-us/research/publication/beyond-assouad-fano-and-le-cam-toward-unified-lower-bounds-for-statistical-estimation-and-interactive-decision-making/">Beyond Assouad, Fano, and Le Cam: Toward Unified Lower Bounds for Statistical Estimation and Interactive Decision Making</a>: Dylan J Foster</li> <li><a href="https://www.microsoft.com/en-us/research/publication/bpqp-a-differentiable-convex-optimization-framework-for-efficient-end-to-end-learning/">BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning</a>: Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian</li> <li><a href="https://www.microsoft.com/en-us/research/publication/compositional-generalization-across-distributional-shifts-with-sparse-tree-operations/">Compositional Generalization Across Distributional Shifts with Sparse Tree Operations</a>: Paul Smolensky, Jianfeng Gao, Roland Fernandez</li> <li><a href="https://www.microsoft.com/en-us/research/publication/dataset-and-lessons-learned-from-the-2024-satml-llm-capture-the-flag-competition/">Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition</a>: Reshmi Ghosh, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Beguelin, Sahar Abdelnabi</li> <li><a href="https://www.microsoft.com/en-us/research/publication/diffusion-for-world-modeling-visual-details-matter-in-atari/">Diffusion for World Modeling: Visual Details Matter in Atari</a>: Anssi Kanervisto, Tim Pearce, Cuiling Lan, Yan Lu</li> <li><a href="https://www.microsoft.com/en-us/research/publication/discoveryworld-a-virtual-environment-for-developing-and-evaluating-automated-scientific-discovery-agents/">DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents</a>: Marc-Alexandre Côté</li> <li><a href="https://www.microsoft.com/en-us/research/publication/efficient-adversarial-training-in-llms-with-continuous-attacks/">Efficient Adversarial Training in LLMs with Continuous Attacks</a>: Alessandro Sordoni</li> <li><a href="https://www.microsoft.com/en-us/research/publication/erbench-an-entity-relationship-based-automatically-verifiable-hallucination-benchmark-for-large-language-models/">ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models</a>: Ruochen Xu, Xing Xie</li> <li><a href="https://www.microsoft.com/en-us/research/publication/generalized-linear-bandits-with-limited-adaptivity/">Generalized Linear Bandits with Limited Adaptivity</a>: Nirjhar Das, Gaurav Sinha</li> <li><a href="https://www.microsoft.com/en-us/research/publication/human-aware-vision-and-language-navigation-bridging-simulation-to-reality-with-dynamic-human-interactions/">Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions</a>: Qi Dai</li> <li><a href="https://www.microsoft.com/en-us/research/publication/identifying-equivalent-training-dynamics/">Identifying Equivalent Training Dynamics</a>: Juan Bello-Rivas</li> <li><a href="https://www.microsoft.com/en-us/research/publication/implicit-curriculum-in-procgen-made-explicit/">Implicit Curriculum in Procgen Made Explicit</a>: Kaixin Wang</li> <li><a href="https://www.microsoft.com/en-us/research/publication/is-behavior-cloning-all-you-need-understanding-horizon-in-imitation-learning/">Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning</a>: Dylan J Foster, Adam Block</li> <li><a href="https://www.microsoft.com/en-us/research/publication/minference-1-0-accelerating-pre-filling-for-long-context-llms-via-dynamic-sparse-attention/">MInference: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention</a>: Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir Abdi, Chin-Yew Lin, Yuqing Yang, Lili Qiu</li> <li><a href="https://www.microsoft.com/en-us/research/publication/the-power-of-resets-in-online-reinforcement-learning/">The Power of Resets in Online Reinforcement Learning</a>: Dylan J Foster</li> <li><a href="https://www.microsoft.com/en-us/research/publication/videogui-a-benchmark-for-gui-automation-from-instructional-videos/">VideoGUI: A Benchmark for GUI Automation from Instructional Videos</a>: Linjie Li, Lijuan Wang</li> <li><a href="https://www.microsoft.com/en-us/research/publication/voila-a-aligning-vision-language-models-with-users-gaze-attention/">Voila-A: Aligning Vision-Language Models with User’s Gaze Attention</a>: Lei Ji, Nan Duan</li> </ul> <hr class="wp-block-separator has-alpha-channel-opacity" /> <p><strong>General Chair</strong>: <a href="https://www.microsoft.com/en-us/research/people/lmackey/">Lester Mackey</a></p> <p><strong>Program Chair Assistant</strong>: <a href="https://www.microsoft.com/en-us/research/people/t-brahmani/">Babak Rahmani</a></p> <p><strong>Competition Chair</strong>: <a href="https://www.microsoft.com/en-us/research/people/taoqin/">Tao Qin</a></p> <p><strong>Workshop Chair</strong>: <a href="https://www.microsoft.com/en-us/research/people/adilsalim/">Adil Salim</a></p> <p><strong>Communication Chair</strong>: <a href="https://www.microsoft.com/en-us/research/people/lualex/">Alex X Lu</a></p> <div style="height:30px" aria-hidden="true" class="wp-block-spacer"></div> <div class="wp-block-media-text has-vertical-margin-small has-vertical-padding-none is-stacked-on-mobile is-style-border" style="grid-template-columns:40% auto" data-bi-an="media-text"><figure class="wp-block-media-text__media"><img decoding="async" width="1024" height="576" src="https://www.microsoft.com/en-us/research/uploads/prod/2024/03/MRF-24_WebImage_1400x788-1024x576.png" alt="Microsoft Research Forum - abstract with shapes" class="wp-image-1024539 size-full" srcset="https://www.microsoft.com/en-us/research/uploads/prod/2024/03/MRF-24_WebImage_1400x788-1024x576.png 1024w, https://www.microsoft.com/en-us/research/uploads/prod/2024/03/MRF-24_WebImage_1400x788-300x169.png 300w, https://www.microsoft.com/en-us/research/uploads/prod/2024/03/MRF-24_WebImage_1400x788-768x432.png 768w, https://www.microsoft.com/en-us/research/uploads/prod/2024/03/MRF-24_WebImage_1400x788-1066x600.png 1066w, https://www.microsoft.com/en-us/research/uploads/prod/2024/03/MRF-24_WebImage_1400x788-655x368.png 655w, https://www.microsoft.com/en-us/research/uploads/prod/2024/03/MRF-24_WebImage_1400x788-240x135.png 240w, https://www.microsoft.com/en-us/research/uploads/prod/2024/03/MRF-24_WebImage_1400x788-640x360.png 640w, https://www.microsoft.com/en-us/research/uploads/prod/2024/03/MRF-24_WebImage_1400x788-960x540.png 960w, https://www.microsoft.com/en-us/research/uploads/prod/2024/03/MRF-24_WebImage_1400x788-1280x720.png 1280w, https://www.microsoft.com/en-us/research/uploads/prod/2024/03/MRF-24_WebImage_1400x788.png 1400w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure><div class="wp-block-media-text__content" data-bi-an="media-text"> <h4 class="wp-block-heading" id="microsoft-research-forum">Microsoft Research Forum</h4> <p>Join us for a continuous exchange of ideas about science and technology research in the era of general AI. 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