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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-19
09:40
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Variational Autoencoders Conditioned by Contrastive Features as Style-Feature Extractors
Suguru Yasutomi, Toshihisa Tanaka (TUAT)
Extracting style features is crucial for investigating the characteristics of data. This paper proposes a variational au... [more]
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
16:45
Online online A Note on Disentanglement Using Deep Generative Model Based on Variational Autoencoder -- Introduction of Regularization Losses Based on Metrics of Disentangled Representation --
Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we study disentangled representation learning using a deep generative model based on Variational Autoenco... [more] MMS2022-19 ME2022-44 AIT2022-19
pp.97-102
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