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Paper Abstract and Keywords
Presentation 2018-11-05 15:10
[Poster Presentation] How does the complexity of critic affect the performance of WGAN?
Akihiro Iohara, Toshiyuki Tanaka (Kyoto Univ.) IBISML2018-60
Abstract (in Japanese) (See Japanese page) 
(in English) WGAN is a generative model that learns by minimizing the Wasserstein distance between the generator distribution and the real-data distribution, evaluated via the Monge-Kantorovich dual formulation, a maximization problem with respect to the critic. Since the critic is typically implemented as a neural network, its complexity may affect accuracy of evaluated Wasserstein distances, and consequently, performance of WGAN. In this paper, we exper- imentally study the relationship between complexity of the critic and performance of WGAN by using the empirical Wasserstein distance as well as other GAN evaluation metrics.
Keyword (in Japanese) (See Japanese page) 
(in English) Generative modeling / GANs / Wasserstein GAN / Optimal transport / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 284, IBISML2018-60, pp. 119-125, Nov. 2018.
Paper # IBISML2018-60 
Date of Issue 2018-10-29 (IBISML) 
ISSN 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 IBISML2018-60

Conference Information
Committee IBISML  
Conference Date 2018-11-05 - 2018-11-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Citizens Activites Center (Kaderu 2.7) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information-Based Induction Science Workshop (IBIS2018) 
Paper Information
Registration To IBISML 
Conference Code 2018-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) How does the complexity of critic affect the performance of WGAN? 
Sub Title (in English)  
Keyword(1) Generative modeling  
Keyword(2) GANs  
Keyword(3) Wasserstein GAN  
Keyword(4) Optimal transport  
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1st Author's Name Akihiro Iohara  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Toshiyuki Tanaka  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2018-11-05 15:10:00 
Presentation Time 180 minutes 
Registration for IBISML 
Paper # IBISML2018-60 
Volume (vol) vol.118 
Number (no) no.284 
Page pp.119-125 
#Pages 7 
Date of Issue 2018-10-29 (IBISML) 

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