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Paper Abstract and Keywords
Presentation 2021-12-17 14:45
Data Selection for Efficient Deep Learning
Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2021-51
Abstract (in Japanese) (See Japanese page) 
(in English) We are investigating the method to sample the important data from the whole dataset for efficient training of Deep Neural Networks. In this report, we compare the accuracy of image classifiers trained from reduced datasets: sampled near the decision boundaries, sampled uniformly over the latent space, and sampled randomly. Experimental results imply that the optimal sampling varies depending on the number of samples, and the data selection criteria should be changed accordingly. Also, we introduce distillation to recover the accuracy degradation by the data reduction and evaluate its effect. Data selection can be applied to many problems: prototyping, active learning, and weighted learning. Findings in this report can be utilized to produce better solution of them.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Data Selection / Image Classification / Distillation / Active Learning / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 304, PRMU2021-51, pp. 148-153, Dec. 2021.
Paper # PRMU2021-51 
Date of Issue 2021-12-09 (PRMU) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee PRMU  
Conference Date 2021-12-16 - 2021-12-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2021-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Data Selection for Efficient Deep Learning 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Data Selection  
Keyword(3) Image Classification  
Keyword(4) Distillation  
Keyword(5) Active Learning  
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1st Author's Name Ryota Higashi  
1st Author's Affiliation Wakayama University (Wakayama Univ.)
2nd Author's Name Toshikazu Wada  
2nd Author's Affiliation Wakayama University (Wakayama Univ.)
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Speaker Author-1 
Date Time 2021-12-17 14:45:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2021-51 
Volume (vol) vol.121 
Number (no) no.304 
Page pp.148-153 
#Pages
Date of Issue 2021-12-09 (PRMU) 


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