{"id":"https://openalex.org/W4285605749","doi":"https://doi.org/10.24963/ijcai.2022/456","title":"Exploring Binary Classification Hidden within Partial Label Learning","display_name":"Exploring Binary Classification Hidden within Partial Label Learning","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285605749","doi":"https://doi.org/10.24963/ijcai.2022/456"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/456","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/456","pdf_url":"https://www.ijcai.org/proceedings/2022/0456.pdf","source":null,"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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2022/0456.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079760139","display_name":"Hengheng Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengheng Luo","raw_affiliation_strings":["Renmin University of China","Key Lab of Data Engineering and Knowledge Engineering of MOE Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Key Lab of Data Engineering and Knowledge Engineering of MOE Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681557","display_name":"Yabin Zhang","orcid":"https://orcid.org/0000-0002-3115-0285"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yabin Zhang","raw_affiliation_strings":["Renmin University of China","Gaoling School of Artificial Intelligence, Renmin University of China, Beijing 100872, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing 100872, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040874366","display_name":"Suyun Zhao","orcid":"https://orcid.org/0000-0001-9292-4371"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suyun Zhao","raw_affiliation_strings":["Renmin University of China","Key Lab of Data Engineering and Knowledge Engineering of MOE Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Key Lab of Data Engineering and Knowledge Engineering of MOE Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002451128","display_name":"Hong Chen","orcid":"https://orcid.org/0000-0002-3949-3864"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chen","raw_affiliation_strings":["Renmin University of China","Key Lab of Data Engineering and Knowledge Engineering of MOE Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Key Lab of Data Engineering and Knowledge Engineering of MOE Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100619237","display_name":"Cuiping Li","orcid":"https://orcid.org/0000-0003-0089-1045"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuiping Li","raw_affiliation_strings":["Renmin University of China","Key Lab of Data Engineering and Knowledge Engineering of MOE Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Key Lab of Data Engineering and Knowledge Engineering of MOE Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.3374,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53291724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3285","last_page":"3291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"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/T11550","display_name":"Text and Document Classification Technologies","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/T12535","display_name":"Machine Learning and Data Classification","score":0.9966999888420105,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8092935085296631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.64741450548172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.61565101146698},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.6129908561706543},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6050665974617004},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5708498358726501},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5579309463500977},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4863189160823822},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4833490550518036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4703797399997711},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43805474042892456},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21876749396324158},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21245840191841125},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10940498113632202}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8092935085296631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64741450548172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61565101146698},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.6129908561706543},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6050665974617004},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5708498358726501},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5579309463500977},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4863189160823822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4833490550518036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4703797399997711},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43805474042892456},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21876749396324158},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21245840191841125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10940498113632202},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/456","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/456","pdf_url":"https://www.ijcai.org/proceedings/2022/0456.pdf","source":null,"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.2022/456","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/456","pdf_url":"https://www.ijcai.org/proceedings/2022/0456.pdf","source":null,"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":[],"awards":[{"id":"https://openalex.org/G2599387646","display_name":null,"funder_award_id":"4212022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2764412201","display_name":null,"funder_award_id":"62076245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G586315176","display_name":null,"funder_award_id":"61772536","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7529917","display_name":"\u9762\u5411\u5927\u6570\u636e\u673a\u5668\u5b66\u4e60\u7684\u4e0d\u786e\u5b9a\u6027\u5efa\u6a21\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"61732006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8038560034","display_name":null,"funder_award_id":"62072460","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8385808830","display_name":null,"funder_award_id":"62172424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285605749.pdf","grobid_xml":"https://content.openalex.org/works/W4285605749.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2106008047","https://openalex.org/W2112796928","https://openalex.org/W2132509897","https://openalex.org/W2137917285","https://openalex.org/W2142863987","https://openalex.org/W2144372981","https://openalex.org/W2146111596","https://openalex.org/W2285223868","https://openalex.org/W2540093921","https://openalex.org/W2733555913","https://openalex.org/W2750384547","https://openalex.org/W2807945348","https://openalex.org/W2808448059","https://openalex.org/W2902986194","https://openalex.org/W2964666459","https://openalex.org/W2991234496","https://openalex.org/W2997519153","https://openalex.org/W2998605053","https://openalex.org/W3035019293","https://openalex.org/W3039204067","https://openalex.org/W3043647695","https://openalex.org/W3090368726","https://openalex.org/W3160687063","https://openalex.org/W3170507882","https://openalex.org/W4236545486","https://openalex.org/W4287997702","https://openalex.org/W4295312788"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W2366107444","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366"],"abstract_inverted_index":{"Partial":[0],"label":[1,21,33,43,118],"learning":[2],"(PLL)":[3],"is":[4,16,28,112,121],"to":[5,79,113],"learn":[6],"a":[7,19,96,129],"discriminative":[8,109],"model":[9,61],"under":[10,65],"incomplete":[11],"supervision,":[12],"where":[13],"each":[14],"instance":[15,37],"annotated":[17],"with":[18,133],"candidate":[20,42,125,169],"set.":[22],"The":[23],"basic":[24],"principle":[25],"of":[26,35,119,123],"PLL":[27,140,185],"that":[29,111,175],"the":[30,81,108,116,138,152,165,176,183],"unknown":[31],"correct":[32,166],"y":[34],"an":[36],"x":[38,120],"resides":[39],"in":[40],"its":[41,124],"set":[44],"s,":[45],"i.e.,":[46],"P(y":[47,101],"\u2208":[48,84,102,158],"s":[49,85,103,159],"|":[50,63,86,104,160],"x)":[51,105,161],"=":[52],"1.":[53],"On":[54],"which":[55,76],"basis,":[56],"current":[57],"researches":[58],"either":[59],"directly":[60,155],"P(x":[62],"y)":[64],"different":[66],"data":[67],"generation":[68],"assumptions":[69],"or":[70],"propose":[71],"various":[72],"surrogate":[73],"multiclass":[74],"losses,":[75],"all":[77],"aim":[78],"encourage":[80],"model-based":[82],"P\u03b8(y":[83,157],"x)\u21921":[87],"implicitly.":[88],"In":[89],"this":[90],"work,":[91],"instead,":[92],"we":[93],"explicitly":[94],"construct":[95],"binary":[97,141],"classification":[98,142],"task":[99],"toward":[100],"based":[106,148],"on":[107,149],"model,":[110],"predict":[114],"whether":[115],"model-output":[117],"one":[122,167],"labels.":[126],"We":[127],"formulate":[128],"novel":[130],"risk":[131],"estimator":[132],"estimation":[134],"error":[135],"bound":[136],"for":[137],"proposed":[139,177],"risk.":[143],"By":[144],"applying":[145],"logit":[146],"adjustment":[147],"disambiguation":[150],"strategy,":[151],"practical":[153],"approach":[154,178],"maximizes":[156],"while":[162],"implicitly":[163],"disambiguating":[164],"from":[168],"labels":[170],"simultaneously.":[171],"Thorough":[172],"experiments":[173],"validate":[174],"achieves":[179],"competitive":[180],"performance":[181],"against":[182],"state-of-the-art":[184],"methods.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}