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Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
09:15		 Hokkaido Hokkaido Univ. Varying Difficulties in the Data and Its Effects to the Generalizability
Aoshi Kawaguchi (UTokyo), Hiroshi Kera (Chiba University), Toshihiko Yamasaki (UTokyo) ITS2022-57 IE2022-74		 Deep neural networks (DNNs) often undergo overfitting.
One cause of overfitting is the training time.
It was proven th... [more]		 ITS2022-57 IE2022-74
pp.83-88
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
09:45		 Hokkaido Hokkaido Univ. Probabilistic Approach towards Theoretical Understanding for Adversarial Training
Soichiro Kumano (UTokyo), Hiroshi Kera (Chiba Univ.), Toshihiko Yamasaki (UTokyo) ITS2022-59 IE2022-76		 In this paper, we provide the first theoretical analysis of the training dynamics of adversarial training of deep neural... [more] ITS2022-59 IE2022-76
pp.95-100
PRMU 2022-09-15
10:45		 Kanagawa
(Primary: On-site, Secondary: Online)		 Effect validation of adversarial auxiliary classifier for video disentanglement
Takeshi Haga, Hiroshi Kera, Kazuhiko Kawamoto (Chiba Univ) PRMU2022-21		 The Disentanglement of sequential data such as video requires inductive biases to separate static latent variables from ... [more] PRMU2022-21
pp.67-71
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