Blogs


Preferred research

Slides


Slide Share

Videos

– Deep Learning Summit, San Francisco 2017講演; Deep Learning: IoT’s Driving Engine
    http://videos.re-work.co/videos/289-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
   

Awards

– FT ArcelorMittal Boldness in Business Awards (2017年3月)
    https://www.ft.com/content/d5608670-ed57-11e6-930f-061b01e23655
    https://live.ft.com/Events/2017/FT-ArcelorMittal-Boldness-in-Business-Awards?=&v=5366219067001

– 第3回日本ベンチャー大賞「経済産業大臣賞」(2017年2月)
    http://www.meti.go.jp/press/2016/02/20170220006/20170220006.html

– 第1回JEITAベンチャー賞(2016年3月)
    http://www.jeita.or.jp/cps/activity/venture/

– 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)
    http://forbesjapan.com/articles/detail/13729

– 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)
    http://itpro.nikkeibp.co.jp/atcl/news/14/101601417/
    http://itpro.nikkeibp.co.jp/atcl/column/14/103000088/111100011

Publications


– 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.