An Analysis of the Effect of the Replacement Ratio in the Pre-training SSL Phase on the Accuracy of Models after Fine-Tuning (特集「ニューロシンボリックAI」および一般)

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An Analysis of the Effect of the Replacement Ratio in the Pre-training SSL Phase on the Accuracy of Models after Fine-Tuning(特集「ニューロシンボリックAI」および一般)

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Material Type: 記事
Title: An Analysis of the Effect of the Replacement Ratio in the Pre-training SSL Phase on the Accuracy of Models after Fine-Tuning
Author/Editor: Locatelli Daniele
Iwata Satoshi
Shiizaki Kotaro
Dang Thang
Kasagi Akihiko
Sakai Yasufumi
Series Title: 特集「ニューロシンボリックAI」および一般
Author Heading: Locatelli Daniele
Iwata Satoshi
Shiizaki Kotaro
Dang Thang
Kasagi Akihiko
Sakai Yasufumi
Periodical title: 人工知能基本問題研究会
No. or year of volume/issue: 129:2024.9.5・6
Volume: 129
Pages: 13-18
Publication date of volume/issue (W3CDTF): 2024-09
Publication (Periodical Title): 東京 : 人工知能学会
Place of Publication (Country Code): JP
Text Language Code: eng
NDLC: ZM13
Target Audience: 一般
Report No. (Article): SIG-FPAI-129-03
Holding library: 国立国会図書館
Call No.: Z14-1667
Data Provider (Database): 国立国会図書館 : 国立国会図書館雑誌記事索引
https://ndlsearch.ndl.go.jp
Bibliographic ID (NDL): 033684022
http://id.ndl.go.jp/bib/033684022
Bibliographic Record Category (NDL): 632