{"id":"https://openalex.org/W4405223849","doi":"https://doi.org/10.1587/transinf.2024dat0002","title":"Removing Mislabeled Data from Trained Models via Machine Unlearning","display_name":"Removing Mislabeled Data from Trained Models via Machine Unlearning","publication_year":2024,"publication_date":"2024-12-10","ids":{"openalex":"https://openalex.org/W4405223849","doi":"https://doi.org/10.1587/transinf.2024dat0002"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2024dat0002","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024dat0002","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/8/E108.D_2024DAT0002/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/8/E108.D_2024DAT0002/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111251789","display_name":"Issa Sugiura","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Issa SUGIURA","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071395810","display_name":"Shingo Okamura","orcid":"https://orcid.org/0000-0001-5602-6494"},"institutions":[{"id":"https://openalex.org/I4210140361","display_name":"National Institute of Technology, Nara College","ror":"https://ror.org/034jd0m14","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210120810","https://openalex.org/I4210140361"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shingo OKAMURA","raw_affiliation_strings":["National Institute of Technology, Nara College","Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Nara College","institution_ids":["https://openalex.org/I4210140361"]},{"raw_affiliation_string":"Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048334268","display_name":"Naoto Yanai","orcid":"https://orcid.org/0000-0002-0817-6188"},"institutions":[{"id":"https://openalex.org/I1283155146","display_name":"Panasonic (Japan)","ror":"https://ror.org/011tm7n37","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283155146"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoto YANAI","raw_affiliation_strings":["Panasonic Holdings Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Panasonic Holdings Corporation","institution_ids":["https://openalex.org/I1283155146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1937192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E108.D","issue":"8","first_page":"863","last_page":"871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8722860217094421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5934452414512634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5260258316993713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8722860217094421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5934452414512634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5260258316993713}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2024dat0002","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024dat0002","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/8/E108.D_2024DAT0002/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2024dat0002","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024dat0002","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/8/E108.D_2024DAT0002/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8159118636","display_name":null,"funder_award_id":"JPMJCR21M5","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405223849.pdf","grobid_xml":"https://content.openalex.org/works/W4405223849.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"The":[0],"generalization":[1],"performance":[2],"of":[3,27,50,61,88,124,152,182,195],"machine":[4,82],"learning":[5],"models":[6,10,78],"deteriorates":[7],"when":[8,35,149],"the":[9,28,41,48,52,59,104,111,122,133,137,144,150,158,180,192],"are":[11],"trained":[12,38,77,96],"with":[13],"mislabeled":[14,20,74,93,153,196],"data.":[15,197],"Existing":[16],"methods":[17,32],"to":[18,37,72,114,191],"address":[19],"data":[21,75,94,102,154],"rely":[22],"on":[23,110],"pre-processing":[24],"or":[25],"in-processing":[26],"training.":[29],"However,":[30,165],"those":[31],"require":[33],"retraining":[34,51,80],"applied":[36],"models.":[39,105],"As":[40],"model":[42,53,163,185],"size":[43,46],"and":[44,98,136,157],"dataset":[45,113],"increase,":[47],"cost":[49],"becomes":[54],"a":[55,69],"significant":[56],"issue,":[57],"necessitating":[58],"development":[60],"new":[62,70],"approaches.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,128,173],"propose":[68],"method":[71,86],"remove":[73],"from":[76,95,103],"without":[79],"via":[81],"unlearning.":[83],"Our":[84,140,198],"proposed":[85,117,126],"consists":[87],"two":[89],"stages:":[90],"first,":[91],"detecting":[92],"models,":[97],"second,":[99],"unlearning":[100,138,159],"these":[101],"We":[106],"conduct":[107],"extensive":[108],"experiments":[109,131],"MNIST":[112],"evaluate":[115,121],"our":[116,125],"method.":[118],"To":[119],"comprehensively":[120],"effectiveness":[123,181],"method,":[127],"perform":[129],"individual":[130,183],"for":[132],"detection":[134,145],"stage":[135,146,160],"stage.":[139],"findings":[141],"demonstrate":[142],"that":[143],"performs":[147],"well":[148],"proportion":[151,194],"is":[155,200],"low,":[156],"effectively":[161],"enhances":[162],"accuracy.":[164],"in":[166],"an":[167],"integrated":[168],"experiment":[169],"involving":[170],"both":[171],"stages,":[172,184],"observed":[174],"intriguing":[175],"yet":[176],"negative":[177],"results:":[178],"despite":[179],"accuracy":[186],"did":[187],"not":[188],"improve":[189],"due":[190],"high":[193],"code":[199],"available":[201],"at":[202],"https://github.com/speed1313/mislabel-unlearning.":[203]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}