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) |