Timezone: »
- [ 64963 ] Conditional Meta-Learning of Linear Representations
- [ 64965 ] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
- [ 64966 ] Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
- [ 64968 ] Deep Combinatorial Aggregation
- [ 64969 ] When to Update Your Model: Constrained Model-based Reinforcement Learning
- [ 64970 ] HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks
- [ 64972 ] Multi-Sample Training for Neural Image Compression
Q&A on RocketChat immediately following Lightning Talks
Author Information
Tianying Ji (Tsinghua University)
Tongda Xu (Tsinghua University)
Giulia Denevi (Leonardo Labs)
Aibek Alanov (Artificial Intelligence Research Institute)
Martin Wistuba (Amazon)
Wei Zhang (Massachusetts Institute of Technology)
Yuesong Shen (Technical University of Munich)
Massimiliano Pontil (IIT & UCL)
Vadim Titov (Moscow Institute of Physics and Technology)
Yan Wang (sensetime)
Yu Luo (Tsinghua University)
Daniel Cremers (Technical University of Munich)
Yanjun Han (Massachusetts Institute of Technology)
Arlind Kadra (University of Freiburg)
Dailan He (SenseTime Research)
Josif Grabocka (Universität Freiburg)
Zhengyuan Zhou (Arena Technologies & NYU)
Fuchun Sun (Tsinghua University)
Carlo Ciliberto (University College London)
Dmitry Vetrov (Higher School of Economics, AI Research Institute)
Mingxuan Jing (Tsinghua University)
Chenjian Gao (SenseTime Research)
Aaron Flores
Tsachy Weissman (Stanford University)
Han Gao (University of Electronic Science and Technology of China)
Fengxiang He (JD.com Inc)
Fengxiang He received his BSc in statistics from University of Science and Technology of China, MPhil and PhD in computer science from the University of Sydney. He is currently an algorithm scientist at JD Explore Academy, JD.com Inc., leading its trustworthy AI team. His research interest is in the theory and practice of trustworthy AI, including deep learning theory, privacy-preserving ML, decentralized learning, and their applications. He has published in prominent journals and conferences, including TNNLS, TMM, TCSVT, ICML, NeurIPS, ICLR, CVPR, and ICCV. He is the area chair of AISTATS, BMVC, and ACML. He is the leading author of several standards on trustworthy AI.
Kunzan Liu (MIT)
Wenbing Huang (Tsinghua University)
Hongwei Qin (SenseTime)
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