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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
09:00		 Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)		 Toward Regularizing Neural Networks with Meta-Learning Generative Models
Shin'ya Yamaguchi (NTT/Kyoto Univ.), Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai (NTT), Hisashi Kashima (Kyoto Univ.) PRMU2022-58 IBISML2022-65		 This paper investigates methods for improving generative data augmentation for deep learning. Generative data augmentati... [more] PRMU2022-58 IBISML2022-65
pp.1-6
PRMU, IPSJ-CVIM 2021-03-05
14:10		 Online Online Improving Accuracy on Biased Datasets via Explanations of Deep Neural Networks
Kazuki Adachi, Shin'ya Yamaguchi (NTT) PRMU2020-93		 Although it is desirable that training datasets for deep learning have diverse features, datasets that have biased featu... [more] PRMU2020-93
pp.139-144
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