{"id":"https://openalex.org/W4385562499","doi":"https://doi.org/10.1145/3580305.3599282","title":"Complementary Classifier Induced Partial Label Learning","display_name":"Complementary Classifier Induced Partial Label Learning","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385562499","doi":"https://doi.org/10.1145/3580305.3599282"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599282","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013880628","display_name":"Yuheng Jia","orcid":"https://orcid.org/0000-0002-3907-6550"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuheng Jia","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3907-6550","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026635842","display_name":"Chongjie Si","orcid":"https://orcid.org/0009-0001-3017-7574"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongjie Si","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0001-3017-7574","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079083101","display_name":"Min-Ling Zhang","orcid":"https://orcid.org/0000-0003-1880-5918"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min-Ling Zhang","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1880-5918","affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"974","last_page":"983"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9993000030517578,"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":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9740999937057495,"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/T10057","display_name":"Face and Expression Recognition","score":0.9649999737739563,"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/classifier","display_name":"Classifier (UML)","score":0.7723016738891602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.731968879699707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6526825428009033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5351802706718445},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4564102590084076},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4435187578201294},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.41038379073143005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39463353157043457},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38655900955200195},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1381169557571411}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7723016738891602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.731968879699707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6526825428009033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5351802706718445},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4564102590084076},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4435187578201294},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.41038379073143005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39463353157043457},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38655900955200195},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1381169557571411}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599282","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G103277725","display_name":null,"funder_award_id":"62106044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7573516140","display_name":null,"funder_award_id":"BK20210221","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/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2106008047","https://openalex.org/W2142863987","https://openalex.org/W2146111596","https://openalex.org/W2149710647","https://openalex.org/W2153603270","https://openalex.org/W2155803963","https://openalex.org/W2274745179","https://openalex.org/W2393384312","https://openalex.org/W2560674852","https://openalex.org/W2807945348","https://openalex.org/W2903641274","https://openalex.org/W2963909971","https://openalex.org/W2967363906","https://openalex.org/W2997519153","https://openalex.org/W3207000850"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"In":[0,37,71],"partial":[1],"label":[2,52,103,113],"learning":[3,163],"(PLL),":[4],"each":[5],"training":[6],"sample":[7],"is":[8,20,26],"associated":[9],"with":[10],"a":[11,60,69,81,123],"set":[12,53,61],"of":[13,24,49,62,138,161],"candidate":[14,30,102],"labels,":[15],"among":[16],"which":[17,57,84],"only":[18],"one":[19],"valid.":[21],"The":[22,166],"core":[23],"PLL":[25,93,144],"to":[27,32,68,79,95,129],"disambiguate":[28],"the":[29,34,39,47,50,76,91,97,101,108,112,116,136,139,159,172],"labels":[31,63,78,99],"get":[33],"ground-truth":[35],"one.":[36],"disambiguation,":[38],"existing":[40],"works":[41],"usually":[42],"do":[43,65],"not":[44,66],"fully":[45],"investigate":[46],"effectiveness":[48],"non-candidate":[51,77],"(a.k.a.":[54],"complementary":[55,82,162],"labels),":[56],"accurately":[58],"indicates":[59],"that":[64],"belong":[67],"sample.":[70],"this":[72],"paper,":[73],"we":[74,106],"use":[75,127],"induce":[80],"classifier,":[83,94],"naturally":[85],"forms":[86],"an":[87],"adversarial":[88],"relationship":[89],"against":[90,142],"traditional":[92],"eliminate":[96],"false-positive":[98],"in":[100,164,171],"set.":[104],"Besides,":[105],"assume":[107],"feature":[109],"space":[110,114],"and":[111,126,152,157],"share":[115],"same":[117],"local":[118],"topological":[119],"structure":[120],"captured":[121],"by":[122],"dynamic":[124],"graph,":[125],"it":[128],"assist":[130],"disambiguation.":[131],"Extensive":[132],"experimental":[133],"results":[134],"validate":[135],"superiority":[137],"proposed":[140],"approach":[141],"state-of-the-art":[143],"methods":[145],"on":[146],"4":[147],"controlled":[148],"UCI":[149],"data":[150,155],"sets":[151,156],"6":[153],"real-world":[154],"reveal":[158],"usefulness":[160],"PLL.":[165],"code":[167],"has":[168],"been":[169],"released":[170],"link":[173],"https://github.com/Chongjie-Si/PL-CL":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
