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Paper Abstract and Keywords
Presentation 2021-03-05 14:10
Improving Accuracy on Biased Datasets via Explanations of Deep Neural Networks
Kazuki Adachi, Shin'ya Yamaguchi (NTT) PRMU2020-93
Abstract (in Japanese) (See Japanese page) 
(in English) Although it is desirable that training datasets for deep learning have diverse features, datasets that have biased features irrelevant to target tasks are likely to be created actually. Deep learning models trained on such biased datasets degrade its accuracy toward input distribution shift. To tackle this problem, we propose Independent Feature Focusing (IFF), the method to detect features on which models should focus and regularize its attribution to improve accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep learning / Explanation / Dataset bias / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 409, PRMU2020-93, pp. 139-144, March 2021.
Paper # PRMU2020-93 
Date of Issue 2021-02-25 (PRMU) 
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 PRMU2020-93

Conference Information
Committee PRMU IPSJ-CVIM  
Conference Date 2021-03-04 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computer Vision and Pattern Recognition for specific environment 
Paper Information
Registration To PRMU 
Conference Code 2021-03-PRMU-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving Accuracy on Biased Datasets via Explanations of Deep Neural Networks 
Sub Title (in English)  
Keyword(1) Deep learning  
Keyword(2) Explanation  
Keyword(3) Dataset bias  
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1st Author's Name Kazuki Adachi  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Shin'ya Yamaguchi  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2021-03-05 14:10:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2020-93 
Volume (vol) vol.120 
Number (no) no.409 
Page pp.139-144 
#Pages 6 
Date of Issue 2021-02-25 (PRMU) 

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