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