Publications
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning
ECML 2021
By : Zhang-Wei Hong, Prabhat Nagarajan, Guilherme Maeda
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency
ICCV 2021
Machine Learning / Deep Learning
By : Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation
CVPR 2021
Machine Learning / Deep Learning
By : Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
CHI 2021
Human Computer Interaction (HCI)/ Human Robot Interaction (HRI)
By : Fabrice Matulic, Aditya Ganeshan, Hiroshi Fujiwara, Daniel Vogel
Surrogate Gradient Field for Latent Space Manipulation
CVPR 2021
Machine Learning / Deep Learning
By : Minjun Li, Yanghua Jin, Huachun Zhu
ChainerRL: A Deep Reinforcement Learning Library
JMLR 2021
By : Yasuhiro Fujita, Prabhat Nagarajan, KataokaToshiki, Takahiro Ishikawa
Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction
AAMAS 2021
Machine Learning / Deep Learning
By : Katsuya Ito, Kentaro Minami, Kentaro Imajo, Kei Nakagawa
Deep Portfolio Optimization via Distributional Prediction of Residual Factors
AAAI 2021
Machine Learning / Deep Learning
By : Kentaro Imajo, Kentaro Minami, Katsuya Ito, Kei Nakagawa
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images (Extended Abstract)
IJCAI2020
By : Kuniyuki Takahashi, Jethro Tan
All Word Embeddings from One Embedding
NeurIPS 2020
Machine Learning / Deep Learning
Natural Language Processing / Speech Processing
By : Sho Takase, Sosuke Kobayashi
Amortized Nesterov’s Momentum: Robust and Lightweight Momentum for Deep Learning
UAI 2020
By : Kaiwen Zhou, Yanghua Jin, Qinghua Ding, James Cheng
MANGA: Method Agnostic Neural-policy Generalization and Adaptation
ICRA 2020
By : Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda