{"id":"https://openalex.org/W4407029011","doi":"https://doi.org/10.1145/3715919","title":"Subclass-wise Logit Perturbation for Multi-label Learning","display_name":"Subclass-wise Logit Perturbation for Multi-label Learning","publication_year":2025,"publication_date":"2025-01-31","ids":{"openalex":"https://openalex.org/W4407029011","doi":"https://doi.org/10.1145/3715919"},"language":"en","primary_location":{"id":"doi:10.1145/3715919","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715919","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013048639","display_name":"Yu Zhu","orcid":"https://orcid.org/0000-0003-0693-435X"},"institutions":[{"id":"https://openalex.org/I110109458","display_name":"Tianjin University of Commerce","ror":"https://ror.org/02b6amy98","country_code":"CN","type":"education","lineage":["https://openalex.org/I110109458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhu","raw_affiliation_strings":["Tianjin University, Tianjin, China and Tianjin University of Commerce, Tianjin, China","Center for Applied Mathematics,Tianjin University, China and College of Sciences, Tianjin University of Commerce, China"],"raw_orcid":"https://orcid.org/0000-0003-0693-435X","affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China and Tianjin University of Commerce, Tianjin, China","institution_ids":["https://openalex.org/I110109458"]},{"raw_affiliation_string":"Center for Applied Mathematics,Tianjin University, China and College of Sciences, Tianjin University of Commerce, China","institution_ids":["https://openalex.org/I110109458"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046034610","display_name":"Ou Wu","orcid":"https://orcid.org/0000-0002-6106-6914"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I4210137766","display_name":"Institute for Advanced Study","ror":"https://ror.org/03xg85719","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137766"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Ou Wu","raw_affiliation_strings":["Tianjin University, Tianjin, China and Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China","Center for Applied Mathematics,Tianjin University, China and HIAS, University of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0002-6106-6914","affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China and Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China","institution_ids":["https://openalex.org/I4210137766"]},{"raw_affiliation_string":"Center for Applied Mathematics,Tianjin University, China and HIAS, University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I162868743","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048240336","display_name":"Fengguang Su","orcid":"https://orcid.org/0000-0002-3824-8306"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengguang Su","raw_affiliation_strings":["Tianjin University, Tianjin, China","Center for Applied Mathematics,Tianjin University, China"],"raw_orcid":"https://orcid.org/0000-0002-3824-8306","affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Center for Applied Mathematics,Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8098,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92411531,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"19","issue":"3","first_page":"1","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9997000098228455,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9997000098228455,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.960099995136261,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9595999717712402,"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/logit","display_name":"Logit","score":0.6530497670173645},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.634238064289093},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6074360013008118},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.550148606300354},{"id":"https://openalex.org/keywords/subclass","display_name":"Subclass","score":0.5374619960784912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49913501739501953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.496293842792511},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.4648422598838806},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.46197545528411865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4302513897418976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41980427503585815},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4149474799633026},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38054537773132324},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3230075240135193},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.304768443107605},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21123087406158447},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08420795202255249}],"concepts":[{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.6530497670173645},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.634238064289093},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6074360013008118},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.550148606300354},{"id":"https://openalex.org/C2776194381","wikidata":"https://www.wikidata.org/wiki/Q3965271","display_name":"Subclass","level":3,"score":0.5374619960784912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49913501739501953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.496293842792511},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.4648422598838806},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.46197545528411865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4302513897418976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41980427503585815},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4149474799633026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38054537773132324},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3230075240135193},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.304768443107605},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21123087406158447},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08420795202255249},{"id":"https://openalex.org/C159654299","wikidata":"https://www.wikidata.org/wiki/Q79460","display_name":"Antibody","level":2,"score":0.0},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3715919","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715919","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2031489346","https://openalex.org/W2183341477","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2339172597","https://openalex.org/W2405989770","https://openalex.org/W2463598282","https://openalex.org/W2564755587","https://openalex.org/W2775447965","https://openalex.org/W2913266441","https://openalex.org/W2932399282","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2963745697","https://openalex.org/W2963875806","https://openalex.org/W2970574105","https://openalex.org/W2971274879","https://openalex.org/W2982112268","https://openalex.org/W2996851481","https://openalex.org/W3035743198","https://openalex.org/W3046688540","https://openalex.org/W3093056059","https://openalex.org/W3095707208","https://openalex.org/W3096230989","https://openalex.org/W3096688134","https://openalex.org/W3099518117","https://openalex.org/W3126121388","https://openalex.org/W3156371678","https://openalex.org/W3174320978","https://openalex.org/W3177230409","https://openalex.org/W3177232285","https://openalex.org/W3179096061","https://openalex.org/W3184825405","https://openalex.org/W3185166685","https://openalex.org/W3196196682","https://openalex.org/W3201658153","https://openalex.org/W4214673031","https://openalex.org/W4226001826","https://openalex.org/W4231059779","https://openalex.org/W4236965008","https://openalex.org/W4283806937","https://openalex.org/W4310416911","https://openalex.org/W4377708844","https://openalex.org/W4385863749","https://openalex.org/W4389302106","https://openalex.org/W4389317967","https://openalex.org/W4391540437","https://openalex.org/W4401023578","https://openalex.org/W6779679106","https://openalex.org/W6843537113"],"related_works":["https://openalex.org/W3135151721","https://openalex.org/W316900803","https://openalex.org/W2025265121","https://openalex.org/W2037210200","https://openalex.org/W1511067427","https://openalex.org/W2963348669","https://openalex.org/W2969932412","https://openalex.org/W1523447316","https://openalex.org/W2000818163","https://openalex.org/W2015052585"],"abstract_inverted_index":{"Logit":[0],"perturbation":[1,5,33,55,83,170,176,192],"refers":[2],"to":[3,12,195],"adding":[4],"on":[6,31,103,227],"logit,":[7],"which":[8],"has":[9,188],"been":[10],"shown":[11],"be":[13,159],"capable":[14],"of":[15,22,45,88,96,99,110,138,223],"enhancing":[16],"the":[17,43,49,53,86,94,97,111,132,135,146,155,220],"robustness":[18],"and":[19,39,118,149,171,199],"generalization":[20,221],"capabilities":[21],"deep":[23],"neural":[24],"networks":[25,226],"in":[26,48,57,108,134],"machine":[27],"learning.":[28,182],"However,":[29],"studies":[30],"logit":[32,54,82,169,175],"for":[34,62,120,167,180],"multi-label":[35,69,90,100,181,228],"learning":[36,70],"are":[37,60],"limited":[38],"they":[40],"only":[41],"consider":[42],"issue":[44],"class":[46,137],"imbalance":[47],"training":[50,91,101,147],"data.":[51,92],"Furthermore,":[52],"vectors":[56],"these":[58],"methods":[59],"identical":[61],"negative":[63,136],"classes":[64],"containing":[65],"different":[66],"subclasses":[67,133],"when":[68],"is":[71,106,165,178,205],"viewed":[72],"as":[73],"a":[74,139,172,189,209],"multiple":[75,151],"binary":[76,141],"classification":[77,104],"problem.":[78],"This":[79],"study":[80],"investigates":[81],"by":[84],"exploring":[85],"characteristics":[87,98,152],"subclass-wise":[89,168,174],"First,":[93],"influence":[95],"data":[102,113],"performance":[105,156,222],"analyzed":[107],"terms":[109],"three":[112],"characteristics,":[114],"namely,":[115],"proportion,":[116,197],"variance,":[117,198],"co-occurrence":[119],"each":[121,186],"category":[122],"(or":[123],"subclass).":[124],"Quantitative":[125],"analyses":[126],"reveal":[127],"that":[128,215],"variance":[129],"differences":[130],"among":[131],"decomposed":[140],"task":[142],"also":[143],"negatively":[144],"impact":[145],"performance,":[148],"if":[150],"affect":[153],"simultaneously,":[154],"deterioration":[157],"will":[158],"more":[160],"severe.":[161],"Second,":[162],"theoretical":[163],"analysis":[164],"performed":[166],"new":[173],"method":[177,204,217],"proposed":[179,203],"In":[183],"our":[184,202,216],"method,":[185],"class/subclass":[187],"carefully":[190],"designed":[191],"implementation":[193],"according":[194],"its":[196],"co-occurrence.":[200],"Finally,":[201],"further":[206],"explained":[207],"through":[208],"regularization":[210],"view.":[211],"Extensive":[212],"experiments":[213],"demonstrate":[214],"consistently":[218],"enhances":[219],"popular":[224],"depth":[225],"benchmark":[229],"datasets.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
