| Paper Abstract and Keywords |
| Presentation |
2024-07-25 14:30
Debugging and testing of training datasets using internal activation states of CNN models Daichi Ofuchi, Takumi Katsuie, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2024-2 KBSE2024-8 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Recently, Artificial Intelligence (AI) and machine learning technologies have made great achievements in various fields. The quality of AI software has become an important issue in integrating AI software into systems. There is a well-known method for debugging additional training datasets which improves the quality, especially robustness, of the model by calculating the Neuronal Coverage (NC) of the additional training datasets for the NN model, detecting outliers based on the results, and removing them. Therefore, in this paper, we extend the experiments of the previous study to CNN models and confirm the same results as in the previous study. We also confirmed that it is possible to construct an additional training dataset that improves the accuracy while maintaining the robustness using the method of the previous study. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Machine Learning / Robustness / Testing / Neuron Coverage / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 133, SS2024-2, pp. 7-12, July 2024. |
| Paper # |
SS2024-2 |
| Date of Issue |
2024-07-18 (SS, KBSE) |
| 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 |
SS2024-2 KBSE2024-8 |
| Conference Information |
| Committee |
KBSE SS IPSJ-SE |
| Conference Date |
2024-07-25 - 2024-07-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
SS |
| Conference Code |
2024-07-KBSE-SS-SE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Debugging and testing of training datasets using internal activation states of CNN models |
| Sub Title (in English) |
|
| Keyword(1) |
Machine Learning |
| Keyword(2) |
Robustness |
| Keyword(3) |
Testing |
| Keyword(4) |
Neuron Coverage |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Daichi Ofuchi |
| 1st Author's Affiliation |
Shinshu University (Shinshu Univ.) |
| 2nd Author's Name |
Takumi Katsuie |
| 2nd Author's Affiliation |
Shinshu University (Shinshu Univ.) |
| 3rd Author's Name |
Kozo Okano |
| 3rd Author's Affiliation |
Shinshu University (Shinshu Univ.) |
| 4th Author's Name |
Shinpei Ogata |
| 4th Author's Affiliation |
Shinshu University (Shinshu Univ.) |
| 5th Author's Name |
Shin Nakajima |
| 5th Author's Affiliation |
National Institute of Informatics (NII) |
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| Speaker |
Author-2 |
| Date Time |
2024-07-25 14:30:00 |
| Presentation Time |
30 minutes |
| Registration for |
SS |
| Paper # |
SS2024-2, KBSE2024-8 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.133(SS), no.134(KBSE) |
| Page |
pp.7-12 |
| #Pages |
6 |
| Date of Issue |
2024-07-18 (SS, KBSE) |