Paper Abstract and Keywords |
Presentation |
2023-03-14 09:30
Dynamical analysis of concurrent and sequential multi-task learning in recurrent neural networks using the graph reduction method Daichi Sugiyama, Hiroki Kurashige (Tokai Univ.) NC2022-99 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Humans and animals can learn multiple tasks. It is common that learning to learn tasks sequentially. However, it is not clear whether and how preceding learning affects subsequent one. Therefore, in this study, we investigated the difference in the dynamical features between the recurrent neural networks that learned multiple tasks concurrently and sequentially. Using the graph reduction method, we showed that there is no statistical difference between them. This result suggests that the sequentiality of learning does not make a difference for a particular class of tasks. It is necessary to extend this analysis to a wider range of task classes in the future. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Recurrent neural networks / Multi-task learning / Graph reduction / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 425, NC2022-99, pp. 42-47, March 2023. |
Paper # |
NC2022-99 |
Date of Issue |
2023-03-06 (NC) |
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) |
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NC2022-99 |
Conference Information |
Committee |
NC MBE |
Conference Date |
2023-03-13 - 2023-03-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
The Univ. of Electro-Communications |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Brain architecture, General |
Paper Information |
Registration To |
NC |
Conference Code |
2023-03-NC-MBE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Dynamical analysis of concurrent and sequential multi-task learning in recurrent neural networks using the graph reduction method |
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Recurrent neural networks |
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Multi-task learning |
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Graph reduction |
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1st Author's Name |
Daichi Sugiyama |
1st Author's Affiliation |
Tokai University (Tokai Univ.) |
2nd Author's Name |
Hiroki Kurashige |
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Tokai University (Tokai Univ.) |
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Speaker |
Author-1 |
Date Time |
2023-03-14 09:30:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2022-99 |
Volume (vol) |
vol.122 |
Number (no) |
no.425 |
Page |
pp.42-47 |
#Pages |
6 |
Date of Issue |
2023-03-06 (NC) |
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