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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