{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235609","sets":["1164:2735:11468:11702"]},"path":["11702"],"owner":"44499","recid":"235609","title":["Vision Transformer-based Meta Loss Landscape Exploration with Actor-Critic Method"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-07-15"},"_buckets":{"deposit":"b0f7fffe-db97-44ae-b52a-ca0cedc6977c"},"_deposit":{"id":"235609","pid":{"type":"depid","value":"235609","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Vision Transformer-based Meta Loss Landscape Exploration with Actor-Critic Method","author_link":["643845","643841","643836","643837","643844","643846","643838","643839","643840","643843","643835","643842"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Vision Transformer-based Meta Loss Landscape Exploration with Actor-Critic Method"},{"subitem_title":"Vision Transformer-based Meta Loss Landscape Exploration with Actor-Critic Method","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-07-15","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Grad. School of Info. Science and Technology Hokkaido University"},{"subitem_text_value":"Grad. School of Info. Science and Technology Hokkaido University"},{"subitem_text_value":"Grad. School of Info. Science and Technology Hokkaido University"},{"subitem_text_value":"Grad. School of Info. Science and Technology Hokkaido University"},{"subitem_text_value":"RIKEN Center for Computational Science"},{"subitem_text_value":"Information Initiative Center Hokkaido University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Grad. School of Info. Science and Technology Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"Grad. School of Info. Science and Technology Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"Grad. School of Info. Science and Technology Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"Grad. School of Info. Science and Technology Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"RIKEN Center for Computational Science","subitem_text_language":"en"},{"subitem_text_value":"Information Initiative Center Hokkaido University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/235609/files/IPSJ-MPS24149012.pdf","label":"IPSJ-MPS24149012.pdf"},"date":[{"dateType":"Available","dateValue":"2026-07-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS24149012.pdf","filesize":[{"value":"1.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"bc2c7368-c641-4500-8693-194078f6fe96","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Enzhi, Zhang"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Xuanyi, Wu"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Rui, Zhong"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Xingbang, Du"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mohamed, Wahib"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masaharu, Munetomo"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Enzhi, Zhang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Xuanyi, Wu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Rui, Zhong","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Xingbang, Du","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mohamed, Wahib","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masaharu, Munetomo","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Detecting and mitigating overfitting in deep neural networks remains a critical challenge in modern machine learning. This paper investigates innovative approaches to address these challenges, particularly focusing on vision transformer-based models. By leveraging meta-learning techniques and reinforcement learning frameworks, we introduce Transformer-based Loss Landscape Exploration (TLLE), which utilizes the validation loss landscape to guide gradient descent optimization. Unlike conventional methods, TLLE employs the Actor-Critic algorithm to learn the mapping from model weights to future values, facilitating efficient sample collection and precise value predictions. Experimental results demonstrate the superior performance of TLLE-enhanced transformer models in image classification and segmentation tasks, showcasing the efficacy of our approach in optimizing deep learning models for image analysis.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Detecting and mitigating overfitting in deep neural networks remains a critical challenge in modern machine learning. This paper investigates innovative approaches to address these challenges, particularly focusing on vision transformer-based models. By leveraging meta-learning techniques and reinforcement learning frameworks, we introduce Transformer-based Loss Landscape Exploration (TLLE), which utilizes the validation loss landscape to guide gradient descent optimization. Unlike conventional methods, TLLE employs the Actor-Critic algorithm to learn the mapping from model weights to future values, facilitating efficient sample collection and precise value predictions. Experimental results demonstrate the superior performance of TLLE-enhanced transformer models in image classification and segmentation tasks, showcasing the efficacy of our approach in optimizing deep learning models for image analysis.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-07-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12","bibliographicVolumeNumber":"2024-MPS-149"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235609,"updated":"2025-01-19T09:35:36.262510+00:00","links":{},"created":"2025-01-19T01:37:10.811914+00:00"}