January 27, 2023 20:39

7 papers were accepted at ICLR 2023, a major conference on machine learning. For more details, please refer to the link below.

[Accepted Papers] https://openreview.net/group?id=ICLR.cc/2023/Conference

There were 4,966 full paper submissions to ICLR 2023.

-Accepted rate-
– Notable-top-5%: Acceptance rate 1.6%
*Traditionally called Accept (oral)
– Notable-top-25%: Acceptance rate 8.0%
*Traditionally called Accept (spotlight)
– Poster: Acceptance rate 31.8%


  • Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification

Takashi Ishida (The University of Tokyo)
Ikko Yamane (Ecole Nationale de la Statistique et de l’Analyse de l’information)
Nontawat Charoenphakdee (The University of Tokyo)
Gang Niu (RIKEN AIP)
Masashi Sugiyama (RIKEN AIP/ The University of Tokyo)

  • SAM as an Optimal Relaxation of Bayes

Thomas Möllenhoff (RIKEN AIP)
Mohammad Emtiyaz Khan (RIKEN AIP)



  • Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning

Xin-Qiang Cai (The University of Tokyo)
Yao-Xiang Ding (Zhejiang University)
Zixuan Chen (Nanjing University)
Yuan Jiang (Nanjing University)
Masashi Sugiyama (RIKEN/The University of Tokyo)
Zhi-Hua Zhou (Nanjing University)


  • 3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation

Zhennan Wu (The University of Tokyo / RIKEN AIP)
Yang Li (The University of Tokyo)
Yifei Huang (The University of Tokyo)
Tatsuya Harada(The University of Tokyo, RIKEN AIP)
Hiroyuki Sato (The University of Tokyo)

  • Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods

Shunta Akiyama (The University of Tokyo),
Taiji Suzuki (The University of Tokyo / RIKEN AIP)

  • Uniform-in-time propagation of chaos for the mean field gradient Langevin dynamics

Taiji Suzuki (The University of Tokyo / RIKEN AIP )
Atsushi Nitanda (Kyushu Institute of Technology / RIKEN AIP / JST PRESTO)
Denny Wu (University of Toronto / Vector Institute) +

  • Valid P-Value for Deep Learning-driven Salient Region

Daiki Miwa (Nagoya Institute of Technology)
Vo Nguyen Le Duy (RIKEN AIP)
Ichiro Takeuchi (Nagoya University / RIKEN AIP)

+ Past interns of RIKEN AIP

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