01.02.23 2:00 Seeing AI app - Indoor Navigation
Indoor Navigation enables you to create routes through a building, and later follow that route, guided by spatial audio cues. Seeing AI is a free app that narrates the world around you.
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32
01.02.23 4:51 Seeing AI app - World Channel
The Seeing AI World Channel provides an audio Augmented Reality experience to enable you to understand and explore your environment. Seeing AI is a free app that narrates the world around you.
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26.8
24.01.23 3:34 SmartKC: A Low-cost, Smartphone-based Corneal Topographer
Microsoft Research India, in collaboration with the Sankara Eye Hospital, developed SmartKC, a low-cost, smartphone-based corneal topographer that can diagnose keratoconus.
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7.6
11.01.23 1:22:54 MSR-IISc AI Seminar Series: On Learning-Aware Mechanism Design - Michael I. Jordan
Statistical decisions are often given meaning in the context of other decisions, particularly when there are scarce resources to be shared.
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13.5
22.12.22 52:53 Tongue-Gesture Recognition in Head-Mounted Displays
Head mounted displays are often used in many situations where the hands of an user may be occupied or otherwise unusable due to situational or permanent movement impairments.
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21.6
16.12.22 0:56 Global Renewables Watch - AI for Good Lab - Geospatial
The Global Renewables Watch continually maps and measures renewable energy installations and their estimated capacities at the subnational, national, and global levels.
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11.2
15.12.22 46:37 Toward a Healthy Research Ecosystem for Large Language Models | Panel Discussion
The advantages of large language models are undeniable, and they have been a focus of attention in industry and academia, due to the capabilities achieved.
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14.12.22 34:02 Joint Pricing and Inventory Management with Demand Learning
2022 Data-driven Optimization Workshop: Joint Pricing and Inventory Management with Demand Learning Speaker: Yuan Zhou, Tsinghua University In the problem of joint pricing and inventory management
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12.6
14.12.22 1:36:23 SITI 2022 - Panel Discussion and moderated Q&A session
SITI2022 Round table discussion on the topic of “Societal Impact & Technology in India” with invited panelists: • Nitin Pai, Takshshila Institution • Bill Thies, Everwell Health Solutions • Dipti
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23.7
12.12.22 36:34 Machine Learning for Combinatorial Optimization: Some Empirical Studies
2022 Data-driven Optimization Workshop: Machine Learning for Combinatorial Optimization: Some Empirical Studies Speaker: Junchi Yan, Shanghai Jiao Tong University In this talk, I will present our
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17.2
12.12.22 29:07 Online Facility Location with Predictions
2022 Data-driven Optimization Workshop: Online Facility Location with Predictions Speaker: Shaofeng Jiang, Peking University In this talk, we present a nearly optimal algorithm for online facility
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12.12.22 30:03 Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
2022 Data-driven Optimization Workshop: Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits Speaker: Longbo Huang, Tsinghua University We generalize the concept of
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17.1
12.12.22 28:53 Combinatorial Pure Exploration with Limited Observation and Beyond
2022 Data-driven Optimization Workshop: Combinatorial Pure Exploration with Limited Observation and Beyond Speaker: Yuko Kuroki, The University of Tokyo Although most combinatorial optimization
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15.1
12.12.22 24:37 Thompson Sampling in Combinatorial Multi-armed Bandits with Independent Arms
2022 Data-driven Optimization Workshop: Thompson Sampling in Combinatorial Multi-armed Bandits with Independent Arms Speaker: Siwei Wang, Microsoft Research Asia Existing methods of combinatorial
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24.6
12.12.22 32:22 Inverse Game Theory for Stackelberg Games: The Blessing of Bounded Rationality
2022 Data-driven Optimization Workshop: Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality Speaker: Weiran Shen, Renmin University of China Optimizing strategic
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10.8
12.12.22 32:34 Optimization from Structured Samples for Coverage and Influence Functions
2022 Data-driven Optimization Workshop: Optimization from Structured Samples for Coverage and Influence Functions Speaker: Zhijie Zhang, Fuzhou University We revisit the optimization from samples
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20.6
12.12.22 27:56 Machine learning assisted hyper-heuristics for online combinatorial optimization problems
2022 Data-driven Optimization Workshop: Machine learning assisted hyper-heuristics for online combinatorial optimization problems Speaker: Ruibin Bai, The University of Nottingham Ningbo China In
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12.12.22 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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12.12.22 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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11.4
12.12.22 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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28.1
12.12.22 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
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18.6
07.12.22 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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10.4
07.12.22 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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19.5
07.12.22 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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07.12.22 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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12.4
07.12.22 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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07.12.22 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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10.4
07.12.22 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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07.12.22 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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21.9
07.12.22 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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