{"id":1088157,"date":"2024-10-22T12:57:14","date_gmt":"2024-10-22T19:57:14","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&#038;p=1088157"},"modified":"2024-11-21T18:41:04","modified_gmt":"2024-11-22T02:41:04","slug":"neurips-2024","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/neurips-2024\/","title":{"rendered":"NeurIPS 2024"},"content":{"rendered":"\n\n\n\n\n<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>\n\n\n\n<p>We are pleased to share Microsoft has over 100 accepted papers at this year\u2019s 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>\n\n\n\n<p><strong>Invited Keynote<\/strong><\/p>\n\n\n\n<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>\n\n\n\n<p><strong>Orals<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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>\n<\/ul>\n\n\n\n<p><strong>Spotlight Sessions<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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 C\u00f4t\u00e9<\/li>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/identifying-equivalent-training-dynamics\/\">Identifying Equivalent Training Dynamics<\/a>: Juan Bello-Rivas<\/li>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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>\n\n\n\n<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&#8217;s Gaze Attention<\/a>: Lei Ji, Nan Duan<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>General Chair<\/strong>: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a><\/p>\n\n\n\n<p><strong>Program Chair Assistant<\/strong>: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/t-brahmani\/\">Babak Rahmani<\/a><\/p>\n\n\n\n<p><strong>Competition Chair<\/strong>: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a><\/p>\n\n\n\n<p><strong>Workshop Chair<\/strong>: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adilsalim\/\">Adil Salim<\/a><\/p>\n\n\n\n<p><strong>Communication Chair<\/strong>: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lualex\/\">Alex X Lu<\/a><\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n\n\n<h2 class=\"wp-block-heading\" id=\"microsoft-booth-schedule\">Microsoft booth schedule<\/h2>\n\n\n\n<p>Stop by our\u00a0booth\u00a0to chat with our experts, see demos of our latest research and find out about\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/neurips-2024\/opportunities\/\" target=\"_blank\" rel=\"noreferrer noopener\">career opportunities<\/a>\u00a0with Microsoft.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Tuesday, December 10<\/th><th>Session title<\/th><th>Speaker<\/th><th>Session type<\/th><\/tr><\/thead><tbody><tr><td>12:00 &#8211; 13:00<\/td><td>WHAM: World and Human Action Model<\/td><td>Sam Devlin, Sergio Valcarcel Macua, Sarah Parisot, Linda Wen,<br>Microsoft Research Redmond<\/td><td>Demo<\/td><\/tr><tr><td>13:30 &#8211; 14:30<\/td><td>Coffee and AI Frontiers Hiring with John Langford<\/td><td>John Langford, Microsoft Research NYC\/NE<\/td><td>Meet & Greet<\/td><\/tr><tr><td>13:00 &#8211; 15:30<\/td><td>Recruitment Hour<\/td><td>Toni Brown-Bell, University Recruiter, GTA<br>Cammy Vasquez,<br>Shiloah Vasquez<\/td><td>Recruitment<\/td><\/tr><tr><td>14:00 &#8211; 14:30<\/td><td>Coffee and Applied Research hiring<\/td><td>Longqi Yang, E+D Office of Applied Research<\/td><td>Meet & Greet<\/td><\/tr><tr><td>14:30 &#8211; 15:00<\/td><td>MAIRA-2: Grounded Radiology Reporting<\/td><td>Shruthi Bannur, Kenza Bouzid<br>Microsoft Health Futures<\/td><td>Talk<\/td><\/tr><tr><td>15:00 &#8211; 15:30<\/td><td>Radfact: An LLM-based evaluation metric for AI generated Radiology Reporting<\/td><td>Stephanie Hyland, Daniel Coelho de Castro<br>Microsoft Health Futures<\/td><td>Talk<\/td><\/tr><tr><td>15:30 &#8211; 16:00<\/td><td><\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>16:00 &#8211; 16:30<\/td><td><\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>16:30 &#8211; 17:00<\/td><td>Empowering Scientific Innovation with the Science Foundation Model<\/td><td>Yingce Xia, Tao Qin<br>AI for Science<\/td><td>Talk<\/td><\/tr><tr><td>16:30 &#8211; 17:00<\/td><td>Coffee with the AI for Science team<\/td><td>AI for Science<\/td><td>Coffee Chat<\/td><\/tr><tr><td>17:00 &#8211; 17:30<\/td><td><\/td><td>Peeyush Kumar, AI Interaction and Learning<br>Microsoft Research Redmond<\/td><td>Meet & Greet<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Wednesday, December 11<\/th><th>Session title<\/th><th>Speaker<\/th><th>Session type<\/th><\/tr><\/thead><tbody><tr><td>10:30 &#8211; 11:00<\/td><td>Coffee and AI Frontiers Hiring with John Langford<\/td><td>John Langford<\/td><td>Meet & Greet<\/td><\/tr><tr><td>11:00 &#8211; 11:30<\/td><td><\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>11:30 &#8211; 12:00<\/td><td><\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>12:00 &#8211; 13:00<\/td><td>WHAM: World and Human Action Model<\/td><td>Sam Devlin, Sergio Valcarcel Macua, Sarah Parisot, Linda Wen<br>Microsoft Research Redmond<\/td><td>Demo<\/td><\/tr><tr><td>13:00 &#8211; 13:30<\/td><td>TBD<\/td><td>MAIDAP<\/td><td>Info session<\/td><\/tr><tr><td>13:30 &#8211; 14:00<\/td><td>Research Opportunities at Microsoft&#8217;s Office of Applied Research<\/td><td>Longqi Yang<br>E+D Office of Applied Research<\/td><td>Meet & Greet<\/td><\/tr><tr><td>14:00 &#8211; 16:00<\/td><td>Recruitment Hour<\/td><td>Toni Brown-Bell, University Recruiter, GTA<br>Cammy Vasquez,<br>Shiloah Vasquez<\/td><td>Recruitment<\/td><\/tr><tr><td>14:00 &#8211; 14:30<\/td><td>Leveraging Dynamic Sparsity in (Long-context) LLMs<\/td><td>Huiqiang Jiang<br>Microsoft Research Asia<\/td><td>Talk<\/td><\/tr><tr><td>14:30 &#8211; 15:00<\/td><td>Phi Silica with Quarot for Outlier-Free 4-bit inference<\/td><td>Pashmina Cameron, Maximilian Croci<br>Windows ASG, MSR\/MAI<\/td><td>Talk<\/td><\/tr><tr><td>15:00 &#8211; 15:30<\/td><td>Phi Silica Multi Modal<\/td><td>Mohsen Fayyaz<br>ASG<\/td><td>Demo<\/td><\/tr><tr><td>15:30 &#8211; 16:00<\/td><td>Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale<\/td><td>Rogerio Bonatti<br>Windows ASG<\/td><td>Talk<\/td><\/tr><tr><td>16:00 &#8211; 16:30<\/td><td>Segmentation-aware Multimodal LLM for radiology<\/td><td>Valentina Salvatelli<br>Microsoft Health Futures<\/td><td>Talk<\/td><\/tr><tr><td>16:30 &#8211; 17:00<\/td><td>Coffee with the AI for Science team<\/td><td>AI For Science<\/td><td>Coffee Chat<\/td><\/tr><tr><td>17:00 &#8211; 17:30<\/td><td>Accurate retrosynthesis prediction with Chimera<\/td><td>Krzysztof Maziarz<br>AI For Science<\/td><td>Talk<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Thursday, December 12<\/th><th>Session title<\/th><th>Speaker<\/th><th>Session type<\/th><\/tr><\/thead><tbody><tr><td>10:30 &#8211; 14:30<\/td><td>Recruitment Hour<\/td><td>Toni Brown-Bell, University Recruiter, GTA<br>Cammy Vasquez,<br>Shiloah Vasquez<\/td><td>Recruitment<\/td><\/tr><tr><td>10:30 &#8211; 11:00<\/td><td>Pyramid Vector Quantization for LLMs<\/td><td>Maximilian Croci, Tycho van der Ouderaa<br>MSR\/MAI<\/td><td>Talk<\/td><\/tr><tr><td>11:00 &#8211; 11:30<\/td><td>EUREKA: Evaluating and Understanding Large Foundation Models<\/td><td>Besmira Nushi, Vidhisha Balachandran, Neel Joshi<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>11:30 &#8211; 12:00<\/td><td>EUREKA: Evaluating and Understanding Large Foundation Models<\/td><td>Besmira Nushi, Vidhisha Balachandran, Neel Joshi<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td><\/td><td><\/td><td>AI For Science<\/td><td><\/td><\/tr><tr><td>12:00 &#8211; 13:00<\/td><td>Generative AI for science discovery<\/td><td>Tao Qin and Yingce Xia<br>AI For Science<\/td><td>Talk<\/td><\/tr><tr><td>13:00 &#8211; 13:30<\/td><td>Podcast &#8211; TBD<\/td><td><\/td><td><\/td><\/tr><tr><td>13:30 &#8211; 14:00<\/td><td>Podcast &#8211; TBD<\/td><td><\/td><td><\/td><\/tr><tr><td>14:00 &#8211; 14:30<\/td><td>Podcast &#8211; TBD<\/td><td><\/td><td><\/td><\/tr><tr><td>14:30 &#8211; 15:00<\/td><td>OmniParser<\/td><td><\/td><td>Demo<\/td><\/tr><tr><td>15:00 &#8211; 15:30<\/td><td><\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>15:30 &#8211; 16:00<\/td><td>Coffee with the AutoGen team<\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Coffee Chat<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n\n\n<h2 class=\"wp-block-heading\" id=\"microsoft-at-ml4h-2024\">Microsoft at ML4H 2024<\/h2>\n\n\n\n<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:\/\/ahli.cc\/ml4h\/\" target=\"_blank\" rel=\"noreferrer noopener\">AHLI Machine Learning for Health (ML4H) Symposium<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> which aims to bring together a vibrant community of machine learning researchers, clinicians, and healthcare data experts. ML4H is a separate symposium co-located with NeurIPS that takes place on December 15-16, 2024, at the Pinnacle Hotel Harbourfront in Vancouver, Canada. Stop by our table to meet our researchers and learn more about accepted papers and research at Microsoft.<\/p>\n\n\n\n<p>Microsoft accepted publications:<\/p>\n\n\n\n<p><strong><a href=\"http:\/\/MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models\" target=\"_blank\" rel=\"noreferrer noopener\">MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models<\/a><\/strong><br><em><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/harssharma\/\">Harshita Sharma<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/vsalvatelli\/\">Valentina Salvatelli<\/a>; Shaury srivastav; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kenzabouzid\/\">Kenza Bouzid<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shbannur\/\">Shruthi Bannur<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dacoelh\/\">Daniel C. Castro<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/maxilse\/\">Maximilian Ilse<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sbondtaylor\/\">Sam Bond-Taylor<\/a>; Mercy Prasanna Ranjit; Fabian Falck; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fperezgarcia\/\">Fernando P\u00e9rez-Garc\u00eda<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/antonsc\/\">Anton Schwaighofer<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hamurfet\/\">Hannah Richardson<\/a>; Maria Teodora Wetscherek; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sthyland\/\">Stephanie Hyland<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jaalvare\/\">Javier Alvarez-Valle<\/a><\/em><\/p>\n\n\n\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/attribute-structuring-improves-llm-based-evaluation-of-clinical-text-summaries\/\" target=\"_blank\" rel=\"noreferrer noopener\">Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries<\/a><\/strong><br><em><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zelalemgero\/\">Zelalem Gero<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chansingh\/\">Chandan Singh<\/a>; Yiqing Xie; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shezhan\/\">Sheng Zhang<\/a>; Praveen Subramanian; Paul Vozila; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jfgao\/\">Jianfeng Gao<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hoifung\/\">Hoifung Poon<\/a><\/em><\/p>\n\n\n\n<p><strong>A Study on Context Length and Efficient Transformers for Biomedical Image Analysis<\/strong><br><em>Sarah Hooper; Hui Xue<\/em><\/p>\n\n\n\n<p><strong>RadPhi-3-Instruct: Small Language Models for Radiology<\/strong><br><em>Mercy Prasanna Ranjit; Shaury srivastav; Tanuja Ganu<\/em><\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Microsoft is a proud sponsor of the 38th Conference on Neural Information Processing Systems (opens in new tab) (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. We are pleased to share Microsoft has over 100 [&hellip;]<\/p>\n","protected":false},"featured_media":1095411,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2024-12-10","msr_enddate":"2024-12-15","msr_location":"Vancouver, BC, Canada","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"footnotes":""},"research-area":[13556,13547],"msr-region":[197900],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[269148,269142],"msr-impact-theme":[],"class_list":["post-1088157","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-systems-and-networking","msr-region-north-america","msr-event-type-conferences","msr-locale-en_us","msr-post-option-approved-for-river","msr-post-option-include-in-river"],"msr_about":"<!-- wp:msr\/event-details {\"title\":\"Microsoft at NeurIPS 2024\",\"image\":{\"id\":1095411,\"url\":\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2024\/10\/NeurIPS-2024_WebBanner_1920x720.jpg\",\"alt\":\"NeurIPS 2024 event header with abstract background pattern\"}} \/-->\n\n<!-- wp:msr\/content-tabs -->\n<!-- wp:msr\/content-tab -->\n<!-- wp:paragraph {\"placeholder\":\"Write content\u2026\"} -->\n<p>Microsoft is a proud sponsor of the <a href=\"https:\/\/neurips.cc\/Conferences\/2024\" rel=\"noreferrer noopener\" target=\"_blank\">38th Conference on Neural Information Processing Systems<\/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>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"placeholder\":\"Write content\u2026\"} -->\n<p>We are pleased to share Microsoft has over 100 accepted papers at this year\u2019s 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>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>Invited Keynote<\/strong><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<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>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>Orals<\/strong><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:list -->\n<ul class=\"wp-block-list\"><!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item --><\/ul>\n<!-- \/wp:list -->\n\n<!-- wp:paragraph -->\n<p><strong>Spotlight Sessions<\/strong><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:list -->\n<ul class=\"wp-block-list\"><!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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 C\u00f4t\u00e9<\/li>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/identifying-equivalent-training-dynamics\/\">Identifying Equivalent Training Dynamics<\/a>: Juan Bello-Rivas<\/li>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item -->\n\n<!-- wp:list-item -->\n<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>\n<!-- \/wp:list-item --><\/ul>\n<!-- \/wp:list -->\n\n<!-- wp:separator -->\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<!-- \/wp:separator -->\n\n<!-- wp:paragraph -->\n<p><strong>General Chair<\/strong>: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lmackey\/\">Lester Mackey<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>Program Chair Assistant<\/strong>: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/t-brahmani\/\">Babak Rahmani<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>Competition Chair<\/strong>: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/taoqin\/\">Tao Qin<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>Workshop Chair<\/strong>: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/adilsalim\/\">Adil Salim<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>Communication Chair<\/strong>: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lualex\/\">Alex X Lu<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"30px\"} -->\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<!-- \/wp:spacer -->\n<!-- \/wp:msr\/content-tab -->\n\n<!-- wp:msr\/content-tab {\"title\":\"Booth schedule\"} -->\n<!-- wp:heading -->\n<h2 class=\"wp-block-heading\" id=\"microsoft-booth-schedule\">Microsoft booth schedule<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>Stop by our\u00a0booth\u00a0to chat with our experts, see demos of our latest research and find out about\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/neurips-2024\/opportunities\/\" target=\"_blank\" rel=\"noreferrer noopener\">career opportunities<\/a>\u00a0with Microsoft.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:table -->\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Tuesday, December 10<\/th><th>Session title<\/th><th>Speaker<\/th><th>Session type<\/th><\/tr><\/thead><tbody><tr><td>12:00 - 13:00<\/td><td>WHAM: World and Human Action Model<\/td><td>Sam Devlin, Sergio Valcarcel Macua, Sarah Parisot, Linda Wen,<br>Microsoft Research Redmond<\/td><td>Demo<\/td><\/tr><tr><td>13:30 - 14:30<\/td><td>Coffee and AI Frontiers Hiring with John Langford<\/td><td>John Langford, Microsoft Research NYC\/NE<\/td><td>Meet &amp; Greet<\/td><\/tr><tr><td>13:00 - 15:30<\/td><td>Recruitment Hour<\/td><td>Toni Brown-Bell, University Recruiter, GTA<br>Cammy Vasquez,<br>Shiloah Vasquez<\/td><td>Recruitment<\/td><\/tr><tr><td>14:00 - 14:30<\/td><td>Coffee and Applied Research hiring<\/td><td>Longqi Yang, E+D Office of Applied Research<\/td><td>Meet &amp; Greet<\/td><\/tr><tr><td>14:30 - 15:00<\/td><td>MAIRA-2: Grounded Radiology Reporting<\/td><td>Shruthi Bannur, Kenza Bouzid<br>Microsoft Health Futures<\/td><td>Talk<\/td><\/tr><tr><td>15:00 - 15:30<\/td><td>Radfact: An LLM-based evaluation metric for AI generated Radiology Reporting<\/td><td>Stephanie Hyland, Daniel Coelho de Castro<br>Microsoft Health Futures<\/td><td>Talk<\/td><\/tr><tr><td>15:30 - 16:00<\/td><td><\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>16:00 - 16:30<\/td><td><\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>16:30 - 17:00<\/td><td>Empowering Scientific Innovation with the Science Foundation Model<\/td><td>Yingce Xia, Tao Qin<br>AI for Science<\/td><td>Talk<\/td><\/tr><tr><td>16:30 - 17:00<\/td><td>Coffee with the AI for Science team<\/td><td>AI for Science<\/td><td>Coffee Chat<\/td><\/tr><tr><td>17:00 - 17:30<\/td><td><\/td><td>Peeyush Kumar, AI Interaction and Learning<br>Microsoft Research Redmond<\/td><td>Meet &amp; Greet<\/td><\/tr><\/tbody><\/table><\/figure>\n<!-- \/wp:table -->\n\n<!-- wp:table -->\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Wednesday, December 11<\/th><th>Session title<\/th><th>Speaker<\/th><th>Session type<\/th><\/tr><\/thead><tbody><tr><td>10:30 - 11:00<\/td><td>Coffee and AI Frontiers Hiring with John Langford<\/td><td>John Langford<\/td><td>Meet &amp; Greet<\/td><\/tr><tr><td>11:00 - 11:30<\/td><td><\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>11:30 - 12:00<\/td><td><\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>12:00 - 13:00<\/td><td>WHAM: World and Human Action Model<\/td><td>Sam Devlin, Sergio Valcarcel Macua, Sarah Parisot, Linda Wen<br>Microsoft Research Redmond<\/td><td>Demo<\/td><\/tr><tr><td>13:00 - 13:30<\/td><td>TBD<\/td><td>MAIDAP<\/td><td>Info session<\/td><\/tr><tr><td>13:30 - 14:00<\/td><td>Research Opportunities at Microsoft's Office of Applied Research<\/td><td>Longqi Yang<br>E+D Office of Applied Research<\/td><td>Meet &amp; Greet<\/td><\/tr><tr><td>14:00 - 16:00<\/td><td>Recruitment Hour<\/td><td>Toni Brown-Bell, University Recruiter, GTA<br>Cammy Vasquez,<br>Shiloah Vasquez<\/td><td>Recruitment<\/td><\/tr><tr><td>14:00 - 14:30<\/td><td>Leveraging Dynamic Sparsity in (Long-context) LLMs<\/td><td>Huiqiang Jiang<br>Microsoft Research Asia<\/td><td>Talk<\/td><\/tr><tr><td>14:30 - 15:00<\/td><td>Phi Silica with Quarot for Outlier-Free 4-bit inference<\/td><td>Pashmina Cameron, Maximilian Croci<br>Windows ASG, MSR\/MAI<\/td><td>Talk<\/td><\/tr><tr><td>15:00 - 15:30<\/td><td>Phi Silica Multi Modal<\/td><td>Mohsen Fayyaz<br>ASG<\/td><td>Demo<\/td><\/tr><tr><td>15:30 - 16:00<\/td><td>Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale<\/td><td>Rogerio Bonatti<br>Windows ASG<\/td><td>Talk<\/td><\/tr><tr><td>16:00 - 16:30<\/td><td>Segmentation-aware Multimodal LLM for radiology<\/td><td>Valentina Salvatelli<br>Microsoft Health Futures<\/td><td>Talk<\/td><\/tr><tr><td>16:30 - 17:00<\/td><td>Coffee with the AI for Science team<\/td><td>AI For Science<\/td><td>Coffee Chat<\/td><\/tr><tr><td>17:00 - 17:30<\/td><td>Accurate retrosynthesis prediction with Chimera<\/td><td>Krzysztof Maziarz<br>AI For Science<\/td><td>Talk<\/td><\/tr><\/tbody><\/table><\/figure>\n<!-- \/wp:table -->\n\n<!-- wp:table -->\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Thursday, December 12<\/th><th>Session title<\/th><th>Speaker<\/th><th>Session type<\/th><\/tr><\/thead><tbody><tr><td>10:30 - 14:30<\/td><td>Recruitment Hour<\/td><td>Toni Brown-Bell, University Recruiter, GTA<br>Cammy Vasquez,<br>Shiloah Vasquez<\/td><td>Recruitment<\/td><\/tr><tr><td>10:30 - 11:00<\/td><td>Pyramid Vector Quantization for LLMs<\/td><td>Maximilian Croci, Tycho van der Ouderaa<br>MSR\/MAI<\/td><td>Talk<\/td><\/tr><tr><td>11:00 - 11:30<\/td><td>EUREKA: Evaluating and Understanding Large Foundation Models<\/td><td>Besmira Nushi, Vidhisha Balachandran, Neel Joshi<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>11:30 - 12:00<\/td><td>EUREKA: Evaluating and Understanding Large Foundation Models<\/td><td>Besmira Nushi, Vidhisha Balachandran, Neel Joshi<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td><\/td><td><\/td><td>AI For Science<\/td><td><\/td><\/tr><tr><td>12:00 - 13:00<\/td><td>Generative AI for science discovery<\/td><td>Tao Qin and Yingce Xia<br>AI For Science<\/td><td>Talk<\/td><\/tr><tr><td>13:00 - 13:30<\/td><td>Podcast - TBD<\/td><td><\/td><td><\/td><\/tr><tr><td>13:30 - 14:00<\/td><td>Podcast - TBD<\/td><td><\/td><td><\/td><\/tr><tr><td>14:00 - 14:30<\/td><td>Podcast - TBD<\/td><td><\/td><td><\/td><\/tr><tr><td>14:30 - 15:00<\/td><td>OmniParser<\/td><td><\/td><td>Demo<\/td><\/tr><tr><td>15:00 - 15:30<\/td><td><\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Demo<\/td><\/tr><tr><td>15:30 - 16:00<\/td><td>Coffee with the AutoGen team<\/td><td>AutoGen team<br>AI Frontiers<\/td><td>Coffee Chat<\/td><\/tr><\/tbody><\/table><\/figure>\n<!-- \/wp:table -->\n\n<!-- wp:spacer {\"height\":\"30px\"} -->\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<!-- \/wp:spacer -->\n<!-- \/wp:msr\/content-tab -->\n\n<!-- wp:msr\/content-tab {\"title\":\"ML4H\"} -->\n<!-- wp:heading -->\n<h2 class=\"wp-block-heading\" id=\"microsoft-at-ml4h-2024\">Microsoft at ML4H 2024<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>Microsoft is a proud sponsor of the <a href=\"https:\/\/ahli.cc\/ml4h\/\" target=\"_blank\" rel=\"noreferrer noopener\">AHLI Machine Learning for Health (ML4H) Symposium<\/a> which aims to bring together a vibrant community of machine learning researchers, clinicians, and healthcare data experts. ML4H is a separate symposium co-located with NeurIPS that takes place on December 15-16, 2024, at the Pinnacle Hotel Harbourfront in Vancouver, Canada. Stop by our table to meet our researchers and learn more about accepted papers and research at Microsoft.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Microsoft accepted publications:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong><a href=\"http:\/\/MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models\" target=\"_blank\" rel=\"noreferrer noopener\">MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models<\/a><\/strong><br><em><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/harssharma\/\">Harshita Sharma<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/vsalvatelli\/\">Valentina Salvatelli<\/a>; Shaury srivastav; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kenzabouzid\/\">Kenza Bouzid<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shbannur\/\">Shruthi Bannur<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dacoelh\/\">Daniel C. Castro<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/maxilse\/\">Maximilian Ilse<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sbondtaylor\/\">Sam Bond-Taylor<\/a>; Mercy Prasanna Ranjit; Fabian Falck; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fperezgarcia\/\">Fernando P\u00e9rez-Garc\u00eda<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/antonsc\/\">Anton Schwaighofer<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hamurfet\/\">Hannah Richardson<\/a>; Maria Teodora Wetscherek; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sthyland\/\">Stephanie Hyland<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jaalvare\/\">Javier Alvarez-Valle<\/a><\/em><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/attribute-structuring-improves-llm-based-evaluation-of-clinical-text-summaries\/\" target=\"_blank\" rel=\"noreferrer noopener\">Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries<\/a><\/strong><br><em><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zelalemgero\/\">Zelalem Gero<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chansingh\/\">Chandan Singh<\/a>; Yiqing Xie; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/shezhan\/\">Sheng Zhang<\/a>; Praveen Subramanian; Paul Vozila; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tristan\/\">Tristan Naumann<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jfgao\/\">Jianfeng Gao<\/a>; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/hoifung\/\">Hoifung Poon<\/a><\/em><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>A Study on Context Length and Efficient Transformers for Biomedical Image Analysis<\/strong><br><em>Sarah Hooper; Hui Xue<\/em><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>RadPhi-3-Instruct: Small Language Models for Radiology<\/strong><br><em>Mercy Prasanna Ranjit; Shaury srivastav; Tanuja Ganu<\/em><\/p>\n<!-- \/wp:paragraph -->\n<!-- \/wp:msr\/content-tab -->\n<!-- \/wp:msr\/content-tabs -->","tab-content":[],"msr_startdate":"2024-12-10","msr_enddate":"2024-12-15","msr_event_time":"","msr_location":"Vancouver, BC, Canada","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"Upcoming: December 10, 2024","msr_register_text":"Register now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":"<img width=\"960\" height=\"540\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2024\/10\/NeurIPS-2024_WebBanner_1920x720-960x540.jpg\" class=\"img-object-cover\" alt=\"NeurIPS 2024 event header with abstract background pattern\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2024\/10\/NeurIPS-2024_WebBanner_1920x720-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2024\/10\/NeurIPS-2024_WebBanner_1920x720-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2024\/10\/NeurIPS-2024_WebBanner_1920x720-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2024\/10\/NeurIPS-2024_WebBanner_1920x720-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2024\/10\/NeurIPS-2024_WebBanner_1920x720-1280x720.jpg 1280w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/>","event_excerpt":"Microsoft is a proud sponsor of the 38th Conference on Neural Information Processing Systems (opens in new tab) (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. We are pleased to share Microsoft has over 100 accepted papers at this year\u2019s conference. Stop by our booth (#445) toward the back of hall A to talk to&hellip;","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[583324],"related-projects":[],"related-opportunities":[1097928,1087425,1097955,1091445,1100142,1091463,1101234,1091472,1091514,1092108,1008810,1094994,1052865,1095579,1081932,1097844,1084257,1097910,1085079],"related-publications":[1090779,1091793,1092375,1093074,1090866,1091901,1092720,1054284,1091319,1091973,1092963,1090785,1091799,1092393,1093083,1090872,1091910,1092726,1056924,1091358,1091979,1092969,1090797,1091808,1092399,1093095,1090887,1091916,1092741,1068621,1091370,1091985,1092981,1090803,1091832,1092477,1093122,1090905,1091922,1092837,1074012,1091379,1092006,1092987,1090809,1091838,1092486,1099677,1091169,1091931,1092843,1080309,1091754,1092021,1093014,1090815,1091844,1092492,1105104,1091175,1091937,1092891,1088148,1091760,1092045,1093026,1090833,1091868,1092537,1105596,1028094,1091181,1091943,1092909,1090737,1091766,1092348,1093038,1090842,1091874,1092543,1041816,1091190,1091949,1092918,1090749,1091772,1092354,1093047,1090848,1091880,1092549,1041822,1091202,1091955,1092924,1090755,1091778,1092360,1093059,1090854,1091886,1092555,1047069,1091220,1091961,1092948,1090770,1091787,1092366,1093068,1090860,1091895,1092561,1053816,1091301,1091967,1092957],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/1088157"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":33,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/1088157\/revisions"}],"predecessor-version":[{"id":1106451,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/1088157\/revisions\/1106451"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1095411"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1088157"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1088157"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=1088157"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=1088157"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=1088157"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1088157"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=1088157"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=1088157"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1088157"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}