Publications
Research Areas :
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
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
Synthetic Gradient Methods with Virtual Forward-Backward Networks
ICLR2017 Workshop
Machine Learning / Deep Learning
By : Takeru Miyato, Daisuke Okanohara, Shin-ichi Maeda, Masanori Koyama
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
IEEE TPAMI
Machine Learning / Deep Learning
By : Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii
Evaluating the Variance of Likelihood-Ratio Gradient Estimators
ICML 2017
Machine Learning / Deep Learning
By : Seiya Tokui, Issei Sato
Learning Discrete Representations via Information Maximizing Self-Augmented Training
ICML 2017
Machine Learning / Deep Learning
By : Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
Deep Learning Implementations and Frameworks
AAAI 2017 Tutorial
Machine Learning / Deep Learning
By : Seiya Tokui, Kenta Oono, Atsunori Kanemura
Deep Learning Implementations and Frameworks
PAKDD 2016 Tutorial
Machine Learning / Deep Learning
By : Seiya Tokui, Kenta Oono, Atsunori Kanemura, Toshihiro Kamishima
Testing properties of functions on finite groups
Random Structures & Algorithms 2016, Journal Article
Machine Learning / Deep Learning
By : Kenta Oono, Yuichi Yoshida
Chainer: a Next-Generation Open Source Framework for Deep Learning
Workshop on Machine Learning System in NIPS 2015
Machine Learning / Deep Learning
By : Seiya Tokui, Kenta Oono, Shohei Hido, Justin Clayton
講談社 シリーズ 機械学習プロフェッショナルシリーズ
Machine Learning / Deep Learning
By : Yuya Unno, Daisuke Okanohara, Seiya Tokui, Hiroyuki Tokunaga