May 23, 2022 10:51
11 papers have been accepted at the International Conference on Machine Learning (ICML) 2022, a major conference on Artificial Intelligence (July 17-23, 2022, Baltimore Convention Center, Baltimore MD). For more details, please refer to the link below.
[Website] https://icml.cc/Conferences/2022
[Accepted Papers] https://icml.cc/Conferences/2022/AcceptedPapersInitial
Long talk (3 papers)
- Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
Zeke Xie ( The University of Tokyo/RIKEN AIP )
Xinrui Wang ( The University of Tokyo/Tencent )
Huishuai Zhang ( Microsoft )
Issei Sato ( The University of Tokyo )
Masashi Sugiyama ( RIKEN/The University of Tokyo ) - Re-evaluating Word Mover’s Distance
Ryoma Sato (Kyoto University/RIKEN AIP)
Makoto Yamada (Kyoto University/RIKEN AIP)
Hisashi Kashima (Kyoto University/RIKEN AIP) - To Smooth or Not? When Label Smoothing Meets Noisy Labels
Jiaheng Wei ( UC Santa Cruz )
Hangyu Liu ( Brown University )
Tongliang Liu ( The University of Sydney )
Gang Niu ( RIKEN )
Masashi Sugiyama ( RIKEN/The University of Tokyo )
Yang Liu ( UC Santa Cruz )
Short talk (8 papers)
- Adversarial Attacks and Defenses for Non-Parametric Two-Sample Tests
Xilie Xu ( National University of Singapore )
Jingfeng Zhang ( RIKEN )
Feng Liu ( University of Technology Sydney )
Masashi Sugiyama ( RIKEN/The University of Tokyo )
Mohan Kankanhalli ( National University of Singapore ) - Bayesian Optimization for Distributionally Robust Chance-constrained Problem
Yu Inatsu (Nagoya Institute of Technology)
Shion Takeno (Nagoya Institute of Technology)
Masayuki Karasuyama (Nagoya Institute of Technology)
Ichiro Takeuchi (Nagoya University / RIKEN AIP) - Estimating Instance-dependent Label-noise Transition Matrix using a Deep Neural Network
Shuo Yang ( University of Technology Sydney )
Erkun Yang ( Xidian University )
Bo Han ( HKBU / RIKEN )
Yang Liu ( UC Santa Cruz )
Min Xu ( University of Technology Sydney )
Gang Niu ( RIKEN )
Tongliang Liu ( The University of Sydney ) - Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
Ruize Gao ( The Chinese University of Hong Kong )
Jiongxiao Wang ( Fudan University )
Kaiwen Zhou ( The Chinese University of Hong Kong )
Feng Liu ( University of Technology Sydney )
Binghui Xie ( The Chinese University of Hong Kong )
Gang Niu ( RIKEN )
Bo Han ( HKBU / RIKEN )
James Cheng ( CUHK ) - Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
Sho Sonoda (RIKEN AIP)
Isao Ishikawa (Ehime University)
Masahiro Ikeda (RIKEN AIP) - Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
Matthias Weissenbacher (RIKEN AIP)
Samarth Sinha (Meta AI Research)
Animesh Garg (Univ. of Toronto / Vector Institute)
Yoshinobu Kawahara (Kyushu Univ. / RIKEN AIP) - On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao ( The University of Tokyo / RIKEN AIP, currently with Kyoto University )
Yoshihiro Nagano ( The University of Tokyo / RIKEN AIP )
Kento Nozawa ( The University of Tokyo / RIKEN AIP ) - Permutation Search of Tensor Network Structures via Local Sampling
Chao Li (RIKEN-AIP)
Junhua Zeng (Guangdong university of technology/RIKEN-AIP)
Zerui Tao (Tokyo university of agriculture and technology/RIKEN-AIP)
Qibin Zhao (RIKEN-AIP)
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