Preferred research Blog (Japanese)

Preferred research Blog (English)


Slide Share




– Deep Learning Summit, San Francisco 2017; Deep Learning: IoT’s Driving Engine

– Amazon Picking Challenge 2016 PFN pick task

– Drone control based on Deep Reinforcement Learning in CEATEC JAPAN 2016
Introduction(Japanese) / Side view / Bird view

– Smart picking robot based on Deep learning in CEATEC 2016

– Experimental result of CityScape datasets (segmentation) 2016 version



– FT ArcelorMittal Boldness in Business Awards (2017年3月)

– 第3回日本ベンチャー大賞「経済産業大臣賞」(2017年2月)

– 第1回JEITAベンチャー賞(2016年3月)

– Forbes JAPAN’s CEO OF THE YEAR 2016「最もイノベーティブなスタートアップ1位」(2016年9月)

– IT Pro EXPO Award 2014優秀賞「ディープラーニングを応用した映像解析ソリューション」(2014年10月)


– Seiya Tokui, Kenta Oono, Shohei Hido, Justin Clayton. Chainer: a Next-Generation Open Source Framework for Deep Learning. In Workshop on Machine Learning Systems at Neural Information Processing Systems (NIPS), 2015.

– Oono, K., & Yoshida, Y. (2016). Testing properties of functions on finite groups. Random Structures & Algorithms, 49(3), 579-598.

– (tutorial) Seiya Tokui, Kenta Oono, Atsunori Kanemura, and Toshihiro Kamishima. Deep Learning Implementations and Frameworks, at the 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2016.

– (tutorial) Seiya Tokui, Kenta Oono, and Atsunori Kanemura. Deep Learning Implementations and Frameworks, at The Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017.

– Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto and Masashi Sugiyama. Learning Discrete Representations via Information Maximizing Self Augmented Training. arXiv:1702.08720, 2017.

– Takeru Miyato, Andrew M. Dai and Ian Goodfellow. Adversarial Training Methods for Semi-Supervised Text Classification. International Conference on Learning Representations (ICLR), 2017. (also accepted at Adversarial Training Workshop on NIPS2016, as a spotlight presentation)

– Takeru Miyato, Daisuke Okanohara, Shin-ichi Maeda and Masanori Koyama. Synthetic Gradient Methods with Virtual Forward-Backward Networks. Workshop on International Conference on Learning Representations (ICLR), 2017.