| Paper Abstract and Keywords |
| Presentation |
2024-03-14 15:15
Zero-shot class separation degree of the feature extractor Chisato Takahashi, Kenya Jin'no (Tokyo City Univ.) MSS2023-95 NLP2023-147 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Network Architecture Search (NAS) is a method to automatically search for the optimal structure of a neural network. Since NAS requires a huge amount of search time, several methods have been proposed to evaluate the performance of neural networks in a zero-shot manner. This article focuses on models for performing classification tasks, which can be divided into feature extractors and classifiers, and analyzes the relationship between the properties of latent variables, which are the outputs of the feature extractor, and the performance of the model. Furthermore, we investigate whether these properties can be predicted in a zero-shot manner. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Network Architecture Search / zero-shot evaluation index / CNN / feature extractor / Cifar-10 / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 428, NLP2023-147, pp. 115-118, March 2024. |
| Paper # |
NLP2023-147 |
| Date of Issue |
2024-03-06 (MSS, NLP) |
| 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 |
MSS2023-95 NLP2023-147 |
| Conference Information |
| Committee |
NLP MSS |
| Conference Date |
2024-03-13 - 2024-03-14 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
MSS, NLP, etc. |
| Paper Information |
| Registration To |
NLP |
| Conference Code |
2024-03-NLP-MSS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Zero-shot class separation degree of the feature extractor |
| Sub Title (in English) |
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| Keyword(1) |
Network Architecture Search |
| Keyword(2) |
zero-shot evaluation index |
| Keyword(3) |
CNN |
| Keyword(4) |
feature extractor |
| Keyword(5) |
Cifar-10 |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Chisato Takahashi |
| 1st Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
| 2nd Author's Name |
Kenya Jin'no |
| 2nd Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2024-03-14 15:15:00 |
| Presentation Time |
25 minutes |
| Registration for |
NLP |
| Paper # |
MSS2023-95, NLP2023-147 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.427(MSS), no.428(NLP) |
| Page |
pp.115-118 |
| #Pages |
4 |
| Date of Issue |
2024-03-06 (MSS, NLP) |