{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233542","sets":["1:11380:11387"]},"path":["11387"],"owner":"44499","recid":"233542","title":["5分で分かる!? 有名論文ナナメ読み：Chuan Guo et al.: On Calibration of Modern Neural Networks"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-15"},"_buckets":{"deposit":"03903e2b-e435-4ef7-b486-70bee0ecf229"},"_deposit":{"id":"233542","pid":{"type":"depid","value":"233542","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"5分で分かる!? 有名論文ナナメ読み：Chuan Guo et al.: On Calibration of Modern Neural Networks","author_link":["634547"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"5分で分かる!? 有名論文ナナメ読み：Chuan Guo et al.: On Calibration of Modern Neural Networks"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"連載","subitem_subject_scheme":"Other"}]},"item_type_id":"30","publish_date":"2024-03-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_30_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪大学"}]},"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/233542/files/IPSJ-MGN650408.pdf","label":"IPSJ-MGN650408.pdf"},"date":[{"dateType":"Available","dateValue":"2026-03-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MGN650408.pdf","filesize":[{"value":"551.0 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"3913668b-b9ed-4e6a-ad9b-5866ed13179d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_30_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"早志, 英朗"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"article"}]},"item_30_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116625","subitem_source_identifier_type":"NCID"}]},"item_30_publisher_14":{"attribute_name":"公開者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"item_30_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"大規模言語モデルや生成AIの驚異的な発展に伴い，機械学習モデルの信頼性が重要視されるようになった．クラス識別において，クラス事後確率の最大値は信頼度（confidence）と呼ばれ，予測の信頼性の重要な指標となる．本稿では，近年の深層学習による識別器の信頼度と実際の正解率との間にギャップがあることを示したChuan Guo et al.の論文を紹介するとともに，主要な信頼度較正手法を複数紹介する．","subitem_description_type":"Other"}]},"item_30_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"219","bibliographic_titles":[{"bibliographic_title":"情報処理"}],"bibliographicPageStart":"218","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"65"}]},"relation_version_is_last":true,"item_30_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20729/00233428","subitem_identifier_reg_type":"JaLC"}]},"weko_creator_id":"44499"},"id":233542,"updated":"2025-01-19T10:03:50.794422+00:00","links":{},"created":"2025-01-19T01:35:02.994494+00:00"}