Publications
Research Areas :
ITSC 2020
Machine Learning / Deep Learning
By : Daisuke Nishiyama, Mario Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon
CVPR 2020
Machine Learning / Deep Learning
By : Naofumi Akimoto, Huachun Zhu, Yanghua Jin, Yoshimitsu Aoki
Smoothness and Stability in GANs
ICLR 2020
Machine Learning / Deep Learning
By : Casey Chu, Kentaro Minami, Kenji Fukumizu
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
NeurIPS 2019
Machine Learning / Deep Learning
By : Mitsuru Kusumoto, Takuya Inoue, Gentaro Watanabe, Takuya Akiba, Masanori Koyama
Semi-flat minima and saddle points by embedding neural networks to overparameterization
NeurIPS 2019
Machine Learning / Deep Learning
By : Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake, Mirai Tanaka
Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
NeurIPS 2019
Machine Learning / Deep Learning
By : Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
Robustness to Adversarial Perturbations in Learning from Incomplete Data
NeurIPS 2019
Machine Learning / Deep Learning
By : Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato
Model-Based Reinforcement Learning via Meta-Policy Optimization
CoRL 2018
Machine Learning / Deep Learning
By : Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel
Spectral Normalization for Generative Adversarial Networks
ICLR 2018
Machine Learning / Deep Learning
By : Takeru Miyato, KataokaToshiki, Masanori Koyama, Yuichi Yoshida