Publications
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators
IROS 2020
By : Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Castro
CVPR 2020
Machine Learning / Deep Learning
By : Naofumi Akimoto, Huachun Zhu, Yanghua Jin, Yoshimitsu Aoki
PenSight: Enhanced Interaction with a Pen-Top Camera
CHI 2020 (Best Paper Award)
Human Computer Interaction (HCI)/ Human Robot Interaction (HRI)
By : Fabrice Matulic, Riku Arakawa, Brian Vogel, Daniel Vogel
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
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