| Presentation | 2018-11-05 [Poster Presentation] How does the complexity of critic affect the performance of WGAN? Akihiro Iohara, Toshiyuki Tanaka, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | WGAN is a generative model that learns by minimizing the Wasserstein distance between the generator distribution and the real-data distribution, evaluated via the Monge-Kantorovich dual formulation, a maximization problem with respect to the critic. Since the critic is typically implemented as a neural network, its complexity may affect accuracy of evaluated Wasserstein distances, and consequently, performance of WGAN. In this paper, we exper- imentally study the relationship between complexity of the critic and performance of WGAN by using the empirical Wasserstein distance as well as other GAN evaluation metrics. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Generative modeling / GANs / Wasserstein GAN / Optimal transport |
| Paper # | IBISML2018-60 |
| Date of Issue | 2018-10-29 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2018/11/5(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Citizens Activites Center (Kaderu 2.7) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information-Based Induction Science Workshop (IBIS2018) |
| Chair | Hisashi Kashima(Kyoto Univ.) |
| Vice Chair | Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Masashi Sugiyama(Nagoya Inst. of Tech.) / Koji Tsuda(AIST) |
| Assistant | Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] How does the complexity of critic affect the performance of WGAN? |
| Sub Title (in English) | |
| Keyword(1) | Generative modeling |
| Keyword(2) | GANs |
| Keyword(3) | Wasserstein GAN |
| Keyword(4) | Optimal transport |
| 1st Author's Name | Akihiro Iohara |
| 1st Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 2nd Author's Name | Toshiyuki Tanaka |
| 2nd Author's Affiliation | Kyoto University(Kyoto Univ.) |
| Date | 2018-11-05 |
| Paper # | IBISML2018-60 |
| Volume (vol) | vol.118 |
| Number (no) | IBISML-284 |
| Page | pp.pp.119-125(IBISML), |
| #Pages | 7 |
| Date of Issue | 2018-10-29 (IBISML) |