{"created":"2025-01-19T01:29:32.210333+00:00","updated":"2025-01-19T11:19:14.519528+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230024","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230024","title":["マルチタスク学習のためのオンラインFine-Tuningにおける動的パラメータ調整手法の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"557e2c79-f7d7-47d6-9432-6b53c86d7474"},"_deposit":{"id":"230024","pid":{"type":"depid","value":"230024","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"マルチタスク学習のためのオンラインFine-Tuningにおける動的パラメータ調整手法の検討","author_link":["618851","618852"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"マルチタスク学習のためのオンラインFine-Tuningにおける動的パラメータ調整手法の検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"法大"},{"subitem_text_value":"法大"}]},"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/230024/files/IPSJ-Z85-6S-05.pdf","label":"IPSJ-Z85-6S-05.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-6S-05.pdf","filesize":[{"value":"411.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"3a2851c8-d973-419d-bbb2-7a8636f82870","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐藤, 陽斗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤, 裕二"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"マルチタスク学習において, 学習中のCNNのフィルタを転移することによって学習効率を高めるオンラインFine-Tuningが提案されている. しかし, この手法の問題点として, 転移頻度や転移フィルタの割合を人手によって決定する必要があることが挙げられる. そこで本研究では, 学習状況に応じて転移頻度や転移フィルタの割合を動的に調整する手法を提案する. 提案手法は, 転移タイミングにおいての誤答率と前回転移時の誤答率との差によってパラメータを調整する. 提案手法を用いてパラメータ調整をした場合とパラメータを調整しない場合で比較して, 提案手法の精度および実行時間への影響を示す.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"458","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"457","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230024,"links":{}}