Paper Abstract and Keywords |
Presentation |
2019-11-14 13:25
Calibration of Confidence in Deep Learning under Dataset Shift Kazuki Yoshida, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2019-25 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Calibration of confidence is important when you want to obtain not only the prediction class of unknown data but also the reliability of prediction in deep learning. However, calibration is often inadequate if the confidence distribution is highly skewed. In this study, we calibrated a convolutional neural network and analyzed the effects of model differences and the presence or absence of data set shift on calibration. In addition, we introduce a new statistic of calibration that does not depend on a distribution of a dataset, and discuss problems of the existing methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
convolutional neural network / confidence / calibration / dataset shift / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 289, CCS2019-25, pp. 5-8, Nov. 2019. |
Paper # |
CCS2019-25 |
Date of Issue |
2019-11-07 (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) |
Download PDF |
CCS2019-25 |
Conference Information |
Committee |
CCS |
Conference Date |
2019-11-14 - 2019-11-15 |
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 |
2019-11-CCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Calibration of Confidence in Deep Learning under Dataset Shift |
Sub Title (in English) |
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convolutional neural network |
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confidence |
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calibration |
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dataset shift |
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1st Author's Name |
Kazuki Yoshida |
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 |
3rd Author's Affiliation |
Kobe University (Kobe Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-11-14 13:25:00 |
Presentation Time |
25 minutes |
Registration for |
CCS |
Paper # |
CCS2019-25 |
Volume (vol) |
vol.119 |
Number (no) |
no.289 |
Page |
pp.5-8 |
#Pages |
4 |
Date of Issue |
2019-11-07 (CCS) |
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