Publications
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
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