Publications
Variance-based Gradient Compression for Efficient Distributed Deep Learning
Invited to Workshop in ICLR 2018
Large Scale Distributed Deep Learning
By : Yusuke Tsuzuku, Hiroto Imachi, Takuya Akiba
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations,
NAACL HLT 2018
Natural Language Processing / Speech Processing
By : Sosuke Kobayashi
Minimizing Supervision for Free-space Segmentation
Workshop on Autonomous Driving in CVPR 2018
By : Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David J. Crandall
Multiray: Multi-Finger Raycasting for Large Vertical Displays
Honourable Mention at CHI 2018
Human Computer Interaction (HCI)/ Human Robot Interaction (HRI)
By : Fabrice Matulic, Daniel Vogel
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
NAACL HLT 2018
Natural Language Processing / Speech Processing
By : Sosuke Kobayashi
Unsupervised Learning of Style-sensitive Word Vectors
ACL 2018
Natural Language Processing / Speech Processing
By : Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui
ChainerMN: Scalable Distributed Deep Learning Framework
ML Systems Workshop in NIPS 2017
CuPy: A Numpy-compatible Library for NVIDIA GPU Calculations
ML Systems Workshop in NIPS 2017
Machine Learning / Deep Learning
By : Ryosuke Okuta, Yuya Unno, Daisuke Nishino, Shohei Hido, Crissman Loomis
Semi-supervised learning of hierarchical representations of molecules with neural message passing
Machine Learning for Molecules and Materials in NIPS 2017
Chemoinformatics / Materials Science
By : Hai Nguyen, Shin-ichi Maeda, Kenta Oono
Neural Sequence Model Training via α-divergence Minimization
Workshop on Learning to Generate Natural Language in ICML 2017
Machine Learning / Deep Learning
By : Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii