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



– 2017 Japan-U.S. Innovation Awards「Emerging Leader Award」(2017.Jul.)

– FT ArcelorMittal Boldness in Business Awards (2017.Mar.)

– Third Nippon Venture Awards : METI Minister’s Awards (2017.Feb.)

– 1st JEITA Venture Award (2016.Mar.)

– Forbes JAPAN’s CEO OF THE YEAR 2016 (2016.Sep.)

– IT Pro EXPO Award 2014 : Award of Excellence (2014.Oct.)



– 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.


Masaki Saito, Eiichi Matsumoto, Shunta Saito. Temporal Generative Adversarial Nets with Singular Value Clipping, ICCV 2017


–  Hitoshi Kusano, Ayaka Kume, Eiichi Matsumoto, Jethro Tan. FCN-Based 6D Robotic Grasping for Arbitrary Placed Objects, ICRA 2017


–  E. Matsumoto, M. Saito, A. Kume, J. Tan. End-to-End Learning of Object Grasp Poses in the Amazon Robotics Challenge. In Warehouse Picking Automation Workshop, ICRA 2017


– Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida. Spectral Normalization for Generative Adversarial Networks, ICML workshop


– Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii. Neural Sequence Model Training via α-divergence Minimization, ICML 2017 Workshop on Learning to Generate Natural Language


– Satoshi Tsutsui, Tommi Kerola, Shunta Saito. Distantly Supervised Road Segmentation. In ICCV 2017 Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving