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Paper Abstract and Keywords
Presentation 2018-03-26 10:00
Suppression Method of Mode Collapse in Generative Adversarial Nets
Shinya Hidai, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2017-33
Abstract (in Japanese) (See Japanese page) 
(in English) Generative Adversarial Nets (GAN) is constituted by two neural networks, Generator and Discrminator. Generator creates data, and Discriminator estimates data that came from training data. The purpose of GAN is to let Generator estimate the probability distribution of training data. There is a problem in the GAN that the Generator can only estimate the local maximum of a part of the probability distribution of the training data, which is known as Mode Collapse. In this paper, in order to suppress the occurrence of Mode Collapse, we propose a method to change loss function of Generator to an expression with a large gradient even when learning of Generator proceeds. We verify this proposed method by estimating the Gaussian mixture model in two dimensional space.
Keyword (in Japanese) (See Japanese page) 
(in English) Generative Adversarial Nets / Mode Collapse / probability distribution / loss function / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 520, CCS2017-33, pp. 1-6, March 2018.
Paper # CCS2017-33 
Date of Issue 2018-03-19 (CCS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CCS2017-33

Conference Information
Committee CCS  
Conference Date 2018-03-26 - 2018-03-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Univ. of Sci. (Morito Memorial Hall) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Natural Computing, etc. 
Paper Information
Registration To CCS 
Conference Code 2018-03-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Suppression Method of Mode Collapse in Generative Adversarial Nets 
Sub Title (in English)  
Keyword(1) Generative Adversarial Nets  
Keyword(2) Mode Collapse  
Keyword(3) probability distribution  
Keyword(4) loss function  
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1st Author's Name Shinya Hidai  
1st Author's Affiliation Tokyo City University (Tokyo City Univ.)
2nd Author's Name Hidehiro Nakano  
2nd Author's Affiliation Tokyo City University (Tokyo City Univ.)
3rd Author's Name Arata Miyauchi  
3rd Author's Affiliation Tokyo City University (Tokyo City Univ.)
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Speaker Author-1 
Date Time 2018-03-26 10:00:00 
Presentation Time 25 minutes 
Registration for CCS 
Paper # CCS2017-33 
Volume (vol) vol.117 
Number (no) no.520 
Page pp.1-6 
#Pages 6 
Date of Issue 2018-03-19 (CCS) 

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