{"id":"https://openalex.org/W4285606429","doi":"https://doi.org/10.24963/ijcai.2022/390","title":"Logit Mixing Training for More Reliable and Accurate Prediction","display_name":"Logit Mixing Training for More Reliable and Accurate Prediction","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285606429","doi":"https://doi.org/10.24963/ijcai.2022/390"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/390","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/390","pdf_url":"https://www.ijcai.org/proceedings/2022/0390.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0390.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033974929","display_name":"Duhyeon Bang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Duhyeon Bang","raw_affiliation_strings":["SKT-brain"],"affiliations":[{"raw_affiliation_string":"SKT-brain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090333242","display_name":"Kyungjune Baek","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungjune Baek","raw_affiliation_strings":["Yonsei University","School of Integrated Technology, Yonsei University"],"affiliations":[{"raw_affiliation_string":"Yonsei University","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Integrated Technology, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021045029","display_name":"Jiwoo Kim","orcid":"https://orcid.org/0009-0005-5731-4259"},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]},{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwoo Kim","raw_affiliation_strings":["NAVER AI Lab","SKT-brain","Sungkyunkwan University","Department of Software, Sungkyunkwan University"],"affiliations":[{"raw_affiliation_string":"NAVER AI Lab","institution_ids":["https://openalex.org/I60922564"]},{"raw_affiliation_string":"SKT-brain","institution_ids":[]},{"raw_affiliation_string":"Sungkyunkwan University","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Department of Software, Sungkyunkwan University","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073879163","display_name":"Yunho Jeon","orcid":"https://orcid.org/0000-0001-8043-480X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunho Jeon","raw_affiliation_strings":["MOFL"],"affiliations":[{"raw_affiliation_string":"MOFL","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101954750","display_name":"Jin-Hwa Kim","orcid":"https://orcid.org/0000-0002-0423-0415"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]},{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-Hwa Kim","raw_affiliation_strings":["NAVER AI Lab","SKT-brain","Sungkyunkwan University"],"affiliations":[{"raw_affiliation_string":"NAVER AI Lab","institution_ids":["https://openalex.org/I60922564"]},{"raw_affiliation_string":"SKT-brain","institution_ids":[]},{"raw_affiliation_string":"Sungkyunkwan University","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113792291","display_name":"J. Kim","orcid":"https://orcid.org/0000-0003-4209-0991"},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]},{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwon Kim","raw_affiliation_strings":["NAVER AI Lab","SKT-brain","Sungkyunkwan University"],"affiliations":[{"raw_affiliation_string":"NAVER AI Lab","institution_ids":["https://openalex.org/I60922564"]},{"raw_affiliation_string":"SKT-brain","institution_ids":[]},{"raw_affiliation_string":"Sungkyunkwan University","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065423554","display_name":"Jongwuk Lee","orcid":"https://orcid.org/0000-0001-9213-7706"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongwuk Lee","raw_affiliation_strings":["Sungkyunkwan University","Department of Software, Sungkyunkwan University"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Department of Software, Sungkyunkwan University","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079082222","display_name":"Hyunjung Shim","orcid":"https://orcid.org/0000-0001-6796-1058"},"institutions":[{"id":"https://openalex.org/I3130020584","display_name":"International Graduate School of English","ror":"https://ror.org/0181xpd52","country_code":"KR","type":"education","lineage":["https://openalex.org/I3130020584"]},{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunjung Shim","raw_affiliation_strings":["Kim Jaechul Graduate School of AI, KAIST"],"affiliations":[{"raw_affiliation_string":"Kim Jaechul Graduate School of AI, KAIST","institution_ids":["https://openalex.org/I3130020584","https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5033974929"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5216,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62602014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2812","last_page":"2819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9980000257492065,"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":0.7253018021583557},{"id":"https://openalex.org/keywords/logit","display_name":"Logit","score":0.6439601182937622},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6027781367301941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.564061164855957},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5606901049613953},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5580508708953857},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4727132022380829},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42780473828315735},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17810368537902832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16482198238372803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7253018021583557},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.6439601182937622},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6027781367301941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.564061164855957},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5606901049613953},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5580508708953857},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4727132022380829},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42780473828315735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17810368537902832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16482198238372803},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/390","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/390","pdf_url":"https://www.ijcai.org/proceedings/2022/0390.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/390","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/390","pdf_url":"https://www.ijcai.org/proceedings/2022/0390.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1296745460","display_name":null,"funder_award_id":"2022-0-00680","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G319893444","display_name":null,"funder_award_id":"202011D06","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4161151948","display_name":null,"funder_award_id":"NRF-2022R1A2C3011154","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G5957180705","display_name":null,"funder_award_id":"2022-0-00680","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"},{"id":"https://openalex.org/G6326437388","display_name":null,"funder_award_id":"2022-0-00680","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6635732358","display_name":null,"funder_award_id":"MOTIE","funder_id":"https://openalex.org/F4320334879","funder_display_name":"Korea Evaluation Institute of Industrial Technology"}],"funders":[{"id":"https://openalex.org/F4320318847","display_name":"Korea Medical Device Development Fund","ror":null},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320334879","display_name":"Korea Evaluation Institute of Industrial Technology","ror":"https://ror.org/03z9cwa38"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285606429.pdf","grobid_xml":"https://content.openalex.org/works/W4285606429.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1945616565","https://openalex.org/W2111051539","https://openalex.org/W2117539524","https://openalex.org/W2153579005","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2254249950","https://openalex.org/W2549139847","https://openalex.org/W2560321925","https://openalex.org/W2581377246","https://openalex.org/W2626967530","https://openalex.org/W2765407302","https://openalex.org/W2796438033","https://openalex.org/W2883780447","https://openalex.org/W2894110498","https://openalex.org/W2896457183","https://openalex.org/W2921861056","https://openalex.org/W2923014074","https://openalex.org/W2932789567","https://openalex.org/W2944223741","https://openalex.org/W2945125794","https://openalex.org/W2948210185","https://openalex.org/W2963163009","https://openalex.org/W2963238274","https://openalex.org/W2970121940","https://openalex.org/W2982157312","https://openalex.org/W2982509564","https://openalex.org/W2992308087","https://openalex.org/W3035224233","https://openalex.org/W3086731747","https://openalex.org/W4288795384","https://openalex.org/W4294170691","https://openalex.org/W4297798436","https://openalex.org/W4300833946","https://openalex.org/W6755111421","https://openalex.org/W6759363029","https://openalex.org/W6790825729","https://openalex.org/W6791858558","https://openalex.org/W6847742374","https://openalex.org/W6864014924"],"related_works":["https://openalex.org/W2129863591","https://openalex.org/W2000361602","https://openalex.org/W1596769710","https://openalex.org/W2923497059","https://openalex.org/W2978363435","https://openalex.org/W4394896199","https://openalex.org/W3217448422","https://openalex.org/W2077865273","https://openalex.org/W2559245114","https://openalex.org/W1989125082"],"abstract_inverted_index":{"When":[0],"a":[1,49,80,84,108],"person":[2],"solves":[3],"the":[4,13,20,27,31,38,95,112,123],"multi-choice":[5],"problem,":[6],"she":[7,35],"considers":[8],"not":[9,19,26],"only":[10],"what":[11,17,23],"is":[12,18,25,62],"answer":[14,28],"but":[15],"also":[16],"answer.":[21],"Knowing":[22],"choice":[24],"and":[29,74,101,125,142],"utilizing":[30],"relationships":[32],"between":[33],"choices,":[34],"can":[36,97,106],"improve":[37],"prediction":[39,143],"accuracy.":[40,144],"Inspired":[41],"by":[42],"this":[43],"human":[44],"reasoning":[45],"process,":[46],"we":[47,77],"propose":[48],"new":[50],"training":[51,92],"strategy":[52,61],"to":[53,110],"fully":[54],"utilize":[55],"inter-class":[56,103],"relationships,":[57,104],"namely":[58],"LogitMix.":[59],"Our":[60,118],"combined":[63],"with":[64],"recent":[65,135],"data":[66,136],"augmentation":[67,137],"techniques,":[68],"e.g.,":[69],"Mixup,":[70,72],"Manifold":[71],"CutMix,":[73],"PuzzleMix.":[75],"Then,":[76],"suggest":[78],"using":[79],"mixed":[81],"logit,":[82],"i.e.,":[83],"mixture":[85],"of":[86,114],"two":[87],"logits,":[88],"as":[89],"an":[90],"auxiliary":[91],"objective.":[93],"Since":[94],"logit":[96],"preserve":[98],"both":[99],"positive":[100],"negative":[102],"it":[105],"impose":[107],"network":[109],"learn":[111],"probability":[113],"wrong":[115],"answers":[116],"correctly.":[117],"extensive":[119],"experimental":[120],"results":[121],"on":[122],"image-":[124],"language-based":[126],"tasks":[127],"demonstrate":[128],"that":[129],"LogitMix":[130],"achieves":[131],"state-of-the-art":[132],"performance":[133],"among":[134],"techniques":[138],"regarding":[139],"calibration":[140],"error":[141]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
