Nine papers were accepted at ICLR 2021, a major conference on machine learning. For more details, please refer to the link below.
[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
+Past interns of RIKEN AIP
