Paper Abstract and Keywords |
Presentation |
2018-11-23 14:55
Hypernetwork-based Implicit Posterior Estimation of CNN Kenya Ukai, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-45 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Deep neural networks have a rich ability to learn complex representations and achieved remarkable results in various tasks.
However, they are prone to overfitting due to the limited number of training samples; regularizing the learning process of neural networks is critical.
In this paper, we propose a novel regularization method, which estimates parameters of a large convolutional neural network as implicit probabilistic distributions generated by a hypernetwork.
Also, we can perform model averaging to improve the network performance.
Experimental results demonstrate our regularization method outperformed the commonly-used maximum a posterior (MAP) estimation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
hypernetwork / Bayesian estimation / convolutional neural network / image recognition / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 316, CCS2018-45, pp. 67-72, Nov. 2018. |
Paper # |
CCS2018-45 |
Date of Issue |
2018-11-15 (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) |
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CCS2018-45 |
Conference Information |
Committee |
CCS |
Conference Date |
2018-11-22 - 2018-11-23 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kobe Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Interaction and Communication, etc. |
Paper Information |
Registration To |
CCS |
Conference Code |
2018-11-CCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Hypernetwork-based Implicit Posterior Estimation of CNN |
Sub Title (in English) |
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hypernetwork |
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Bayesian estimation |
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convolutional neural network |
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image recognition |
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1st Author's Name |
Kenya Ukai |
1st Author's Affiliation |
Kobe University (Kobe Univ.) |
2nd Author's Name |
Takashi Matsubara |
2nd Author's Affiliation |
Kobe University (Kobe Univ.) |
3rd Author's Name |
Kuniaki Uehara |
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Kobe University (Kobe Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-11-23 14:55:00 |
Presentation Time |
25 minutes |
Registration for |
CCS |
Paper # |
CCS2018-45 |
Volume (vol) |
vol.118 |
Number (no) |
no.316 |
Page |
pp.67-72 |
#Pages |
6 |
Date of Issue |
2018-11-15 (CCS) |
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