| Presentation | 2020-10-21 ［招待講演］The Deepest Learning with Continuous-Depth Models , |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Continuous deep learning architectures have recently re-emerged as variants of Neural Ordinary Differential Equations (Neural ODEs). The infinite-depth approach offered by these models theoretically bridges the gap between deep learning and dynamical systems. While this paradigm offers a new perspective of learning, opening new frontiers in several application domains (e.g. control of physical systems), several challenges - both theoretical and practical - have to be overcome. In this talk, we will introduce the framework of continuous-depth learning, present the current state-of-the-art as well as new bleeding-edge results. Finally, we will discuss the most promising future directions of the field. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Neural NetwroksDifferential EquationsDynamical SystemsOptimizationControl Theory |
| Paper # | IBISML2020-23 |
| Date of Issue | 2020-10-13 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2020/10/20(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Organized Sessions on Frontiers of Machine Learning and General Sessions |
| Chair | Ichiro Takeuchi(Nagoya Inst. of Tech.) |
| Vice Chair | Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Masashi Sugiyama(AIST) / Koji Tsuda(NTT) |
| Assistant | Atsuyoshi Nakamura(Hokkaido Univ.) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | |
| Sub Title (in English) | |
| Keyword(1) | Deep Neural NetwroksDifferential EquationsDynamical SystemsOptimizationControl Theory |
| 1st Author's Name | |
| 1st Author's Affiliation | *(*) |
| Date | 2020-10-21 |
| Paper # | IBISML2020-23 |
| Volume (vol) | vol.120 |
| Number (no) | IBISML-195 |
| Page | pp.pp.41-41(IBISML), |
| #Pages | 1 |
| Date of Issue | 2020-10-13 (IBISML) |