{"id":"https://openalex.org/W4226013657","doi":"https://doi.org/10.1109/tpami.2022.3141240","title":"CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise","display_name":"CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4226013657","doi":"https://doi.org/10.1109/tpami.2022.3141240","pmid":"https://pubmed.ncbi.nlm.nih.gov/34995182"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3141240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3141240","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5085720255","display_name":"Ming-Kun Xie","orcid":"https://orcid.org/0000-0002-1053-1409"},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]},{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming-Kun Xie","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China","institution_ids":["https://openalex.org/I890469752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103204774","display_name":"Sheng-Jun Huang","orcid":"https://orcid.org/0000-0002-7673-5367"},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]},{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng-Jun Huang","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China","institution_ids":["https://openalex.org/I890469752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085720255"],"corresponding_institution_ids":["https://openalex.org/I890469752","https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":3.5863,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93593883,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"45","issue":"1","first_page":"154","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9988999962806702,"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":0.9904999732971191,"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":0.6639539003372192},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6463910937309265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5753193497657776},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5729950666427612},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5574679374694824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5452473759651184},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5253207683563232},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.418689489364624},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4186386466026306},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.375161737203598},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3540329933166504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2660323977470398},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12479090690612793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08510562777519226}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6639539003372192},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6463910937309265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5753193497657776},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5729950666427612},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5574679374694824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5452473759651184},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5253207683563232},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.418689489364624},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4186386466026306},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.375161737203598},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3540329933166504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2660323977470398},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12479090690612793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08510562777519226},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3141240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3141240","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:34995182","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34995182","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7173311126","display_name":null,"funder_award_id":"62076128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7529917","display_name":null,"funder_award_id":"61732006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8593002909","display_name":null,"funder_award_id":"BK20211517","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W1514928307","https://openalex.org/W1522301498","https://openalex.org/W1546851689","https://openalex.org/W1565746575","https://openalex.org/W1662713651","https://openalex.org/W1873158149","https://openalex.org/W1921293667","https://openalex.org/W1940008012","https://openalex.org/W1966771059","https://openalex.org/W1982032418","https://openalex.org/W1999954155","https://openalex.org/W2023163512","https://openalex.org/W2031489346","https://openalex.org/W2096520669","https://openalex.org/W2102348129","https://openalex.org/W2114315281","https://openalex.org/W2118712128","https://openalex.org/W2122537498","https://openalex.org/W2140335411","https://openalex.org/W2151989798","https://openalex.org/W2156935079","https://openalex.org/W2163605009","https://openalex.org/W2167460663","https://openalex.org/W2490901831","https://openalex.org/W2591132901","https://openalex.org/W2604763608","https://openalex.org/W2620673134","https://openalex.org/W2647530754","https://openalex.org/W2746791238","https://openalex.org/W2788462285","https://openalex.org/W2795282075","https://openalex.org/W2803187616","https://openalex.org/W2804378530","https://openalex.org/W2888934269","https://openalex.org/W2904398352","https://openalex.org/W2907230706","https://openalex.org/W2932399282","https://openalex.org/W2947049994","https://openalex.org/W2963676620","https://openalex.org/W2963697299","https://openalex.org/W2963735582","https://openalex.org/W2964292098","https://openalex.org/W2964782060","https://openalex.org/W2996108195","https://openalex.org/W2996837177","https://openalex.org/W2997519153","https://openalex.org/W3015362220","https://openalex.org/W3126646455","https://openalex.org/W3127280529","https://openalex.org/W3131727177","https://openalex.org/W3133128010","https://openalex.org/W3159649695","https://openalex.org/W3166297290","https://openalex.org/W3176185023","https://openalex.org/W3205749498","https://openalex.org/W4244259635","https://openalex.org/W4288413741","https://openalex.org/W4295312788","https://openalex.org/W4309937634","https://openalex.org/W6631190155","https://openalex.org/W6633774736","https://openalex.org/W6637299801","https://openalex.org/W6640298173","https://openalex.org/W6640485552","https://openalex.org/W6641990611","https://openalex.org/W6674516588","https://openalex.org/W6677082149","https://openalex.org/W6677758222","https://openalex.org/W6683235360","https://openalex.org/W6684191040","https://openalex.org/W6728573183","https://openalex.org/W6736057607","https://openalex.org/W6738763127","https://openalex.org/W6739654635","https://openalex.org/W6750523955","https://openalex.org/W6751420435","https://openalex.org/W6751647823","https://openalex.org/W6751883947","https://openalex.org/W6754519412","https://openalex.org/W6760604271","https://openalex.org/W6763576130","https://openalex.org/W6766978945","https://openalex.org/W6771630921"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4295532600","https://openalex.org/W4366700029","https://openalex.org/W2063823869","https://openalex.org/W4285230481","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863"],"abstract_inverted_index":{"Class-conditional":[0],"noise":[1],"commonly":[2,115],"exists":[3],"in":[4],"machine":[5],"learning":[6,86,127],"tasks,":[7],"where":[8],"the":[9,29,33,41,104,131,135,148,151],"class":[10],"label":[11,43,50],"is":[12,51,58,128],"corrupted":[13,67],"with":[14,61,69,87,99,114,130],"a":[15,82,121],"probability":[16],"depending":[17],"on":[18,40,140],"its":[19],"ground-truth.":[20],"Many":[21],"research":[22],"efforts":[23],"have":[24],"been":[25],"made":[26],"to":[27],"improve":[28],"model":[30],"robustness":[31],"against":[32],"class-conditional":[34],"noise.":[35],"However,":[36],"they":[37,111],"typically":[38],"focus":[39],"single":[42],"case":[44],"by":[45],"assuming":[46],"that":[47,110],"only":[48],"one":[49],"corrupted.":[52],"In":[53,74],"real":[54],"applications,":[55],"an":[56],"instance":[57],"usually":[59],"associated":[60],"multiple":[62,141],"labels,":[63],"which":[64],"could":[65],"be":[66],"simultaneously":[68],"their":[70],"respective":[71],"conditional":[72],"probabilities.":[73],"this":[75,79],"paper,":[76],"we":[77],"formalize":[78],"problem":[80],"as":[81],"general":[83],"framework":[84],"of":[85,150],"Class-Conditional":[88],"Multi-label":[89],"Noise":[90],"(CCMN":[91],"for":[92,102,124],"short).":[93],"We":[94],"establish":[95],"two":[96],"unbiased":[97,132],"estimators":[98],"error":[100],"bounds":[101],"solving":[103],"CCMN":[105,136],"problems,":[106],"and":[107,143],"further":[108],"prove":[109],"are":[112],"consistent":[113],"used":[116],"multi-label":[117,126],"loss":[118],"functions.":[119],"Finally,":[120],"new":[122],"method":[123],"partial":[125],"implemented":[129],"estimator":[133],"under":[134],"framework.":[137],"Empirical":[138],"studies":[139],"datasets":[142],"various":[144],"evaluation":[145],"metrics":[146],"validate":[147],"effectiveness":[149],"proposed":[152],"method.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
