105 days 30:11 Oblivious Online Contention Resolution Schemes
2022 Data-driven Optimization Workshop: Oblivious Online Contention Resolution Schemes Speaker: Hu Fu, Shanghai University of Finance and Economics Contention resolution schemes (CRSs) are
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105 days 31:52 Efficient Machine Learning at the Edge in Parallel
2022 Data-driven Optimization Workshop: Efficient Machine Learning at the Edge in Parallel Speaker: Furong Huang, The University of Maryland Since the beginning of the digital age, the size and
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9.7
105 days 29:28 Deep Reinforcement Learning in Supply Chain Optimizations
2022 Data-driven Optimization Workshop: Deep Reinforcement Learning in Supply Chain Optimizations Speaker: Lei Song, Microsoft Research Asia There are plenty of optimization problems in industry, e.
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32.1
105 days 30:07 End-to-end Reinforcement Learning for the Large-scale Traveling Salesman Problem
2022 Data-driven Optimization Workshop: End-to-end Reinforcement Learning for the Large-scale Traveling Salesman Problem Speaker: Yan Jin, Huazhong University of Science and Technology Traveling
325
13.1
111 days 26:22 Personality Predictions from Automated Video Interviews: Explainable or Unexplainable Models?
Research Talk David Stillwell, University of Cambridge In automated video interviews (AVIs), candidates answer pre-set questions by recording responses on camera and then interviewers use them to
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10.6
111 days 1:00:45 Responsible AI: An Interdisciplinary Approach | Panel Discussion
Host: Xing Xie, Microsoft Research Asia Panelists: Pascale Fung, Hong Kong University of Science & Technology Rui Guo, Renmin University of China Jun Zhu, Tsinghua University Jonathan Zhu, City
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111 days 30:51 Personalizing Responsibility within AI Systems: A Case for Designing Diversity
Research Talk James Evans, The University of Chicago Here I explore the importance of personalizing our assessment of particular humans' values, objectives, and constraints, both at the outset of a
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16.1
111 days 30:51 Evidence-based Evaluation for Responsible AI
Research Talk Jonathan Zhu, City University of Hong Kong Current efforts on responsible AI have focused on why AI should be socially responsible and how to produce responsible AI.
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111 days 39:19 Towards Trustworthy Recommender Systems: From Shallow Models to Deep Models to Large Models
Research Talk Yongfeng Zhang, Rutgers University As the bridge between humans and AI, recommender system is at the frontier of Human-centered AI research.
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7.4
111 days 21:28 Development of a Game-Based Assessment to Measure Creativity
Research Talk Fang Luo, Beijing Normal University Creativity measurement is the basis of creativity research. For a long time, traditional creativity tests have many limitations.
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111 days 33:29 Interpretability, Responsibility and Controllability of Human Behaviors
Research Talk Xiaohong Wan, Beijing Normal University When judging whether a man should take his responsibility for his behavior, the judger often evaluates whether his behavior is interpretable
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111 days 39:50 On the Adversarial Robustness of Deep Learning
Research Talk Jun Zhu, Tsinghua University Although deep learning methods have obtained significant progress in many tasks, it has been widely recognized that the current methods are vulnerable to
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22
111 days 29:35 The Long March Towards AI Fairness
Research Talk Rui Guo, Renmin University of China To protect people from unfair treatment or discrimination, conventional wisdom from the legal academia points to certain protected factors or
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111 days 36:07 Towards Human Value Based Natural Language Processing (NLP)
Research Talk Pascale Fung, Hong Kong University of Science & Technology The AI “arms race” has reached a point where different organizations in different countries are competing to build ever
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111 days 27:48 Responsible AI Research at Microsoft Research Asia
Keynote Xing Xie, Microsoft Research Asia With the rapid development of artificial intelligence, its social responsibility has received extensive attention.
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111 days 3:22 Responsible AI Workshop | Opening Remarks
Opening remarks Lidong Zhou, Microsoft Research Asia When studying responsible AI (artificial intelligence), most of the time we are studying its impact on people and society.
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111 days 31:26 Low-latency, Real-time Insights from Space
Research talk Ranveer Chandra, Microsoft Research Redmond Shadi Noghabi, Microsoft Research Redmond More than 80% of the world’s surface does not have Internet connectivity.
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8.4
111 days 56:03 Next Generation Networking and its Platform Workshop | Panel Discussion
Host: Yongqiang Xiong, Microsoft Research Asia Panelists: • Lili Qiu, Microsoft Research Asia • Mo Li, Nanyang Technological University • Chenren Xu, Peking University • Hong Xu, The Chinese
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111 days 19:28 OpenNetLab: An Open Platform for RL-based Congestion Control for Real-Time Communication
Research talk Byung-Gon Chun, Seoul National University With the importance of real-time communications (RTC), much attention is being paid to designing congestion control (CC) algorithms for RTC
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111 days 27:05 Enhance Networking Education with OpenNetLab
Research talk Ye Tian, University of Science and Technology of China Chen Tian, Nanjing University Networking Education at university is a critical topic for the community to raise talents in the
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111 days 30:06 Coping with High Mobility for Beyond 5G Cellular Networks
Research talk Lili Qiu, Microsoft Research Asia The wireless signal propagates via multipath arising from different reflections and penetration between a transmitter and receiver.
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111 days 27:07 Reconfigurable Metamaterial Surfaces for mmWave and Satellite Networks
Research talk Kyle Jamieson, Princeton University To support faster and more efficient networks, mobile operators and service providers are bringing 5G millimeter wave (mmWave) networks indoors.
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111 days 52:32 A Cloud-based Telecommunications Infrastructure: Business Opportunities & Research Challenges
Keynote Victor Bahl, Azure for Operators 5G has created an unprecedented opportunity for information technology startups and the established cloud industry to become a part of the next generation
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111 days 4:17 Next Generation Networking and its Platform Workshop | Opening Remarks
Opening Remarks Lili Qiu, Microsoft Research Asia As 5G is being rolled out across the world, wireless researchers are actively developing 6G and WiFi 7 to potentially support Tbps, ultra-low
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116 days 21:21 Azure Container for PyTorch: An optimized container for large scale distributed training workloads
Join Microsoft Research at NeurIPS 2022 for the live streaming of presentations and demos from Booth #202.
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18
116 days 22:26 Lightning Talk: LATTE: LAnguage Trajectory TransformEr
Join Microsoft Research at NeurIPS 2022 for the live streaming of presentations and demos from Booth #202.
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21.4
116 days 23:41 Lightning Talk: Deep Causal Learning
Join Microsoft Research at NeurIPS 2022 for the live streaming of presentations and demos from Booth #202.
2 602
12.2
116 days 15:52 Lightning Talk: A deep learning approach to recover conditional independence graphs
Join Microsoft Research at NeurIPS 2022 for the live streaming of presentations and demos from Booth #202.
427
13.9
116 days 19:27 Demo: 3DB: A Framework for Debugging Computer Vision Models
Join Microsoft Research at NeurIPS 2022 for the live streaming of presentations and demos from Booth #202.
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116 days 17:46 Lightning Talk: Biomedical Visual Language Learning
Join Microsoft Research at NeurIPS 2022 for the live streaming of presentations and demos from Booth #202.
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12.3