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Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2018-03-26
10:00		 Tokyo Tokyo Univ. of Sci. (Morito Memorial Hall) Suppression Method of Mode Collapse in Generative Adversarial Nets
Shinya Hidai, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2017-33		 Generative Adversarial Nets (GAN) is constituted by two neural networks, Generator and Discrminator. Generator creates d... [more] CCS2017-33
pp.1-6
SIP, EA, SP, MI
(Joint) [detail]		 2018-03-20
13:55		 Okinawa   DNN prefiltering for enhancement of voice recognition in noise environment
Jun Takahashi, Kentaro Murase (Fujitsu Labs.) EA2017-170 SIP2017-179 SP2017-153		 In this paper, we applied convolutional denoising autoencoder (CDAE) as the prefilter of voice recognition and evaluated... [more] EA2017-170 SIP2017-179 SP2017-153
pp.373-378
PRMU 2017-10-12
15:10		 Kumamoto   [Tutorial Lecture] Families of GANs
Tomohiro Takahashi (ABEJA) PRMU2017-80		 Generative Adversarial Networks(GANs) have recently gained popularity due to their ability to synthesize images which ar... [more] PRMU2017-80
pp.95-100
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