Our research was accepted for CHI2018 Demonstrations Track. Nishanth Koganti, Abdul R. A. Ghani, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo: “Virtual Reality as a User-friendly Interface for Learning from Demonstrations.” Demonstrations Track, Conference on Human Factors in Computing Systems, (CHI). Montreal, Canada, April 21-26, 2018. See details: Virtual Reality as a User-friendly Interface for Learning from…
Our paper for EMNLP2017 (Long) has been accepted.
Masaru Isonuma, Toru Fujino, Junichiro Mori, Yutaka Matsuo and Ichiro Sakata: Extractive Summarization Using Multi-Task Learning with Document Classification, Proc. EMNLP 2017, 2017
Our paper for ACL2017 (short) has been accepted.
Pablo Loyola, Edison Marrese-Taylor and Yutaka Matsuo. A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL). Vancouver, Canada, July 30-August 4, 2017
Our paper for IJCAI2017 has been accepted.
Yusuke Iwasawa, Kotaro Nakayama, Ikuko Yairi and Yutaka Matsuo: Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training, The 26th International Joint Conference on Artificial Intelligence (IJCAI2017), August19–25, Melbourne, Australia (Acceptance Rate: 25%)
Our paper for ICLR2017 workshop was accepted.
Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo: Joint Multimodal Learning with Deep Generative Models, ICLR 2017 workshop, April24–26, 2017, Toulon, France.
Sorry, this entry is only available in Japanese. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language.
株式会社Preferred Networks(PFN）より、松元叡一氏（10/25）、大野健太氏・藤田康博氏（12/6）を講師にお招きし、深層強化学習や深層学習フレームワーク概論に関する授業、Chainerのご紹介をしていただきました。
松尾研究室が開発に協力している日本最強の囲碁ソフト「DeepZenGO」が、「第2回囲碁電王戦」においてプロ棋士・趙治勲名誉名人と対局しました。
<a href=”http://www.itmedia.co.jp/news/articles/1611/23/news030.html” style=”color:blue”>http://www.itmedia.co.jp/news/articles/1611/23/news030.html</a>
FacialVAE has been released
日本語