2021/1/26 15:17

機械学習の主要なカンファレンスであるICLR 2021において、AIPセンターから9本の論文が採択されました。

[Accepted Papers] https://openreview.net/group?id=ICLR.cc/2021/Conference

[Oral Presentation]

1)

Geometry-aware instance-reweighted adversarial training

Jingfeng Zhang (RIKEN-AIP)
Jianing Zhu (Sichuan University)
Gang Niu (RIKEN-AIP)
Bo Han (Hong Kong Baptist University)
Masashi Sugiyama (RIKEN-AIP / The University of Tokyo)
Mohan Kankanhalli (National University of Singapore)

https://openreview.net/forum?id=iAX0l6Cz8ub

2)

Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime.

Atsushi Nitanda (The University of Tokyo / RIKEN AIP)
Taiji Suzuki (The University of Tokyo / RIKEN AIP)

https://openreview.net/forum?id=PULSD5qI2N1

 

[Spotlight Presentation]

3)

Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods.

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

https://openreview.net/forum?id=2m0g1wEafh

 

[Poster Presentation]

4)

A diffusion theory for deep learning dynamics: Stochastic gradient descent exponentially favors flat minima

Zeke Xie (RIKEN-AIP / The University of Tokyo)
Issei Sato (The University of Tokyo / RIKEN-AIP)
Masashi Sugiyama (RIKEN-AIP / The University of Tokyo)

https://openreview.net/forum?id=wXgk_iCiYGo

5)

When Does Preconditioning Help or Hurt Generalization?

Shun-ichi Amari (RIKEN Center for Brain Science)
Jimmy Ba (University of Toronto / Vector Institute)
Roger Grosse (University of Toronto / Vector Institute)
Xuechen Li (Google Research)
Atsushi Nitanda (The University of Tokyo / RIKEN AIP)
Taiji Suzuki (The University of Tokyo / RIKEN AIP)
Denny Wu (University of Toronto / Vector Institute) +
Ji Xu (Columbia University)

https://openreview.net/forum?id=S724o4_WB3

6)

Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design

Xiufeng Yang (CHUGAI PHARMACEUTICAL CO., LTD.) * 論文投稿時の所属は RIKEN AIP
Tanuj Kr Aasawat (RIKEN AIP)
Kazuki Yoshizoe (RIKEN AIP)

https://openreview.net/forum?id=6k7VdojAIK

7)

Hyperbolic Neural Networks++

Ryohei Shimizu (The University of Tokyo)
Yusuke Mukuta (The University of Tokyo)
Tatsuya Harada (The University of Tokyo / RIKEN)

https://openreview.net/forum?id=Ec85b0tUwbA

8)

Evaluation of Similarity-based Explanations

Kazuaki Hanawa (RIKEN AIP / Tohoku University)
Sho Yokoi (Tohoku University / RIKEN AIP)
Satoshi Hara (Osaka University)
Kentaro Inui (Tohoku University / RIKEN AIP)

https://openreview.net/forum?id=9uvhpyQwzM_

9)

Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes’ Rule

Shuhei Kurita (RIKEN AIP / JST PRESTO)
Kyunghyun Cho (New York University / CIFAR)

https://openreview.net/forum?id=45uOPa46Kh

 

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