Publications
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
Eliciting Pen-Holding Postures for General Input with Suitability for EMG Armband Detection
ISS 2019
Human Computer Interaction (HCI)/ Human Robot Interaction (HRI)
By : Fabrice Matulic, Brian Vogel, Naoki Kimura, Dan Vogel
FDA: Feature Disruptive Adversarial Attack
ICCV 2019
By : Aditya Ganeshan, Vivek B. S., R. Venkatesh Babu
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images
ICRA2019
By : Kuniyuki Takahashi, Jethro Tan
Effective Adversarial Regularization for Neural Machine Translation
ACL 2019
Natural Language Processing / Speech Processing
By : Motoki Sato, Jun Suzuki, Shun Kiyono
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning
ICML2019
By : Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama
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