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| Presentation | 2023-06-30 15:10 Analysis of Mode Connectivity Between Models with Different Hidden Layer Widths Yusuke Takase, Hidetoshi Shimodaira (Kyoto Univ.)  NC2023-20 IBISML2023-20 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The property known as mode connectivity, where the weights of two neural networks independently trained using the same dataset and model can be connected with curves in parameter space while keeping the loss small, has been experimentally confirmed. Previous studies have shown linear mode connectivity, which connects weights linearly, by eliminating the permutation symmetry of hidden layers. These studies, however, was premised on identical model structures and parameter sizes. This study extends existing methods and demonstrates that linear mode connectivity can be achieved even when the number of units in the hidden layers of the two models differs. This is shown in experiments using multilayer perceptrons trained on the MNIST dataset and ResNet20 trained on the CIFAR100 dataset. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | neural networks / weight matching / mode connectivity / permutation symmetry / loss landscape visualization / unbalanced assignment / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 91, IBISML2023-20, pp. 129-136, June 2023. | |
| Paper # | IBISML2023-20 | |
| Date of Issue | 2023-06-22 (NC, IBISML) | |
| 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 | NC2023-20 IBISML2023-20 |
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| Conference Information | |
| Committee | NC IBISML IPSJ-BIO IPSJ-MPS |
| Conference Date | 2023-06-29 - 2023-07-01 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OIST Conference Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2023-06-NC-IBISML-BIO-MPS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of Mode Connectivity Between Models with Different Hidden Layer Widths |
| Sub Title (in English) | |
| Keyword(1) | neural networks |
| Keyword(2) | weight matching |
| Keyword(3) | mode connectivity |
| Keyword(4) | permutation symmetry |
| Keyword(5) | loss landscape visualization |
| Keyword(6) | unbalanced assignment |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yusuke Takase |
| 1st Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 2nd Author's Name | Hidetoshi Shimodaira |
| 2nd Author's Affiliation | Kyoto University (Kyoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-06-30 15:10:00 |
| Presentation Time | 25 minutes |
| Registration for | IBISML |
| Paper # | NC2023-20, IBISML2023-20 |
| Volume (vol) | vol.123 |
| Number (no) | no.90(NC), no.91(IBISML) |
| Page | pp.129-136 |
| #Pages | 8 |
| Date of Issue | 2023-06-22 (NC, IBISML) |
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