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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) [schedule] [select]
Chair Hisashi Kashima (Kyoto Univ.)
Vice Chair Masashi Sugiyama (Univ. of Tokyo), Koji Tsuda (Univ. of Tokyo)
Secretary Ichiro Takeuchi (Nagoya Inst. of Tech.), Toshihiro Kamishima (AIST)
Assistant Tomoharu Iwata (NTT), Shigeyuki Oba (Kyoto Univ.)

Conference Date Tue, Mar 5, 2019 13:30 - 17:30
Wed, Mar 6, 2019 10:00 - 14:30
Topics Machine learning, etc. 
Conference Place RIKEN Center for Advanced Intelligence Project 
Address 1-4-1 Nihombashi Chuo-ku, 103-0027 Tokyo, Japan
Transportation Guide Direct access from Tokyo Metro Nihombashi Station
https://aip.riken.jp/access/?lang=en
Contact
Person
Koji Tsuda
+81-3-6225-2373
Participation Fee This workshop will be held as the IEICE workshop in fully electronic publishing. Participant fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the participant fee page. We request the participant fee to participants who will attend the workshop(s) on IBISML.

Tue, Mar 5 PM  Theory of Machine Learning
Chair: Koji Tsuda
13:30 - 16:30
(1) 13:30-14:00 A connection between Kida's optimal signal approximation and the signal classification by maximizing margin Takuro Kida (Tokyo Tech. Prof.EM), Yuichi Kida (Ohu Univ.)
(2) 14:00-14:30 Expressive power of skip connection and network architecture Jumpei Nagase, Tetsuya Ishiwata (Shibaura Inst. of Tech.)
(3) 14:30-15:00 Efficient Exploration by Variational Information Maximizing Exploration on Reinforcement Learning Kazuki Doi, Keigo Okawa (Gifu Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN)
  15:00-15:15 Break ( 15 min. )
(4) 15:15-16:15 Invited Talk
Hiroshi Maruyama (Preferred Networks)
Invitation to Machine Learning Engineering
  16:15-16:30 Break ( 15 min. )
Tue, Mar 5 PM  Application of Machine Learning
Chair: Koji Tsuda
16:30 - 17:30
(5) 16:30-17:00 Set transformer for coordinating outfits Takuma Nakamura, Yuki Saito (ZOZO Research)
(6) 17:00-17:30 A Study on Automatic Generation of False Data Injection Attack against Connected Car Service Based on Reinforcement Learning Yuichiro Dan, Keita Hasegawa, Takafumi Harada, Tomoaki Washio, Yoshihito Oshima (NTT)
Wed, Mar 6 AM  Theory of Machine Learning
Chair: Koji Tsuda
10:00 - 13:00
(7) 10:00-10:30 Effects of Batch-normalization on Fisher Information Matrix of ResNet Yasutaka Furusho, Kazushi Ikeda (NAIST)
(8) 10:30-11:00 Wider neural networks with ReLU activation generalize better Yasutaka Furusho, Kazushi Ikeda (NAIST)
(9) 11:00-11:30 Shapelet-based Multiple-Instance Learning Daiki Suehiro, Kohei Hatano (Kyushu Univ./RIKEN AIP), Eiji Takimoto (Kyushu Univ.), Shuji Yamamoto, Kenichi Bannai (Keio Univ./RIKEN AIP), Akiko Takeda (The Univ. of Tokyo/RIKEN AIP)
(10) 11:30-12:00 Optimal Kernel for Mode Estimation via Kernel Density Estimation Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.)
  12:00-13:00 Lunch ( 60 min. )
Wed, Mar 6 PM  Theory and Application of Machine Learning
Chair: Toshihiro Kamishima
13:00 - 14:30
(11) 13:00-13:30 Magnetic Resonance Angiography Image Restoration by Super Resolution based on Deep Learning Shizen Kitazaki, Masanori Kawakita, Yutaka Jitumatu (Kyushu Univ.), Shigehide Kuhara (Kyorin Univ.), Akio Hiwatashi, Jun'ichi Takeuchi (Kyushu Univ.)
(12) 13:30-14:00 Acceleration of Boosting Discriminators Using Region Partition Learning and Its Application to Face Detectors Takeshi Mori, Junichi Takeuchi, Masanori Kawakita (Kyushu Univ.)
(13) 14:00-14:30 Evaluation of LGRF using RAVE in Go program Tatsuya Shimizu, Yuta Hayama, Asuka Nakamura, Yoshitaka Maekawa (CIT)

Announcement for Speakers
General TalkEach speech will have 25 minutes for presentation and 5 minutes for discussion.

Contact Address and Latest Schedule Information
IBISML Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)   [Latest Schedule]
Contact Address  


Last modified: 2019-03-05 15:27:18


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