{"id":"https://openalex.org/W4200479228","doi":"https://doi.org/10.1145/3490725.3490752","title":"Dual Enhancement for Multi-Label Learning with Missing Labels","display_name":"Dual Enhancement for Multi-Label Learning with Missing Labels","publication_year":2021,"publication_date":"2021-09-17","ids":{"openalex":"https://openalex.org/W4200479228","doi":"https://doi.org/10.1145/3490725.3490752"},"language":"en","primary_location":{"id":"doi:10.1145/3490725.3490752","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490725.3490752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Machine Learning and Machine Intelligence","raw_type":"proceedings-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/A5000070030","display_name":"Shengyuan Liu","orcid":"https://orcid.org/0000-0001-9722-135X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyuan Liu","raw_affiliation_strings":["Key Lab of Intelligent Computing Based Big Data of Zhejiang Province,College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Computing Based Big Data of Zhejiang Province,College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049707744","display_name":"Haobo Wang","orcid":"https://orcid.org/0000-0001-8586-3048"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haobo Wang","raw_affiliation_strings":["Key Lab of Intelligent Computing Based Big Data of Zhejiang Province,College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Computing Based Big Data of Zhejiang Province,College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035912428","display_name":"Tianlei Hu","orcid":"https://orcid.org/0000-0003-0744-6454"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlei Hu","raw_affiliation_strings":["Key Lab of Intelligent Computing Based Big Data of Zhejiang Province,College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Computing Based Big Data of Zhejiang Province,College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451984","display_name":"Ke Chen","orcid":"https://orcid.org/0000-0001-9457-9364"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Chen","raw_affiliation_strings":["Key Lab of Intelligent Computing Based Big Data of Zhejiang Province,College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Computing Based Big Data of Zhejiang Province,College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19589961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2020","issue":null,"first_page":"177","last_page":"183"},"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/T11309","display_name":"Music and Audio Processing","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9560999870300293,"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/computer-science","display_name":"Computer science","score":0.7876354455947876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6452078819274902},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6284632682800293},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6283127665519714},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5861571431159973},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.5527174472808838},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.530074954032898},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5188092589378357},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4955838918685913},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44143998622894287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39713555574417114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876354455947876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6452078819274902},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6284632682800293},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6283127665519714},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5861571431159973},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.5527174472808838},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.530074954032898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5188092589378357},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4955838918685913},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44143998622894287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39713555574417114},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3490725.3490752","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490725.3490752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Machine Learning and Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2002493648","https://openalex.org/W2025335430","https://openalex.org/W2031489346","https://openalex.org/W2078120539","https://openalex.org/W2143890915","https://openalex.org/W2166912588","https://openalex.org/W2605572715","https://openalex.org/W2765407302","https://openalex.org/W2775653686","https://openalex.org/W2782482721","https://openalex.org/W2904572180","https://openalex.org/W2963365374","https://openalex.org/W2963745697","https://openalex.org/W2989700832","https://openalex.org/W3015464002","https://openalex.org/W3034749675","https://openalex.org/W3109774165","https://openalex.org/W3134652006","https://openalex.org/W3142266179","https://openalex.org/W4239881334"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W4285201053","https://openalex.org/W2753779043"],"abstract_inverted_index":{"The":[0,26],"goal":[1],"of":[2,24,126],"multi-label":[3,119],"learning":[4],"with":[5],"missing":[6,34,47,73,97],"labels":[7,15,35],"(MLML)":[8],"is":[9,30],"assigning":[10],"each":[11],"testing":[12],"instance":[13],"multiple":[14],"given":[16,41],"training":[17,103],"instances":[18],"that":[19,71,90],"have":[20],"a":[21,67,84,106],"partial":[22],"set":[23],"labels.":[25,42,98],"most":[27],"challenging":[28],"issue":[29],"to":[31,95,109,130],"complete":[32,46,96],"the":[33,58,76,102,112,124,131],"by":[36,49],"leveraging":[37],"input":[38],"signals":[39],"and":[40,79],"Existing":[43],"methods":[44],"usually":[45],"entries":[48,74],"utilizing":[50],"label":[51,93,113],"correlation,":[52],"which,":[53],"however,":[54],"overlook":[55],"knowledge":[56],"from":[57,75],"object":[59],"itself.":[60],"To":[61],"tackle":[62],"this":[63],"problem,":[64],"we":[65,82,100],"propose":[66],"dual":[68],"enhancement":[69],"framework":[70],"enhances":[72],"label-":[77],"perspective":[78],"instance-perspective.":[80],"First,":[81],"develop":[83],"Long":[85],"Short-Term":[86],"Memory":[87],"(LSTM)":[88],"network":[89],"utilizes":[91],"sequential":[92],"correlations":[94],"Second,":[99],"expand":[101],"dataset":[104],"via":[105],"MixUp":[107],"procedure":[108],"further":[110],"enhance":[111],"confidence.":[114],"Extensive":[115],"experiments":[116],"on":[117],"three":[118],"image":[120],"datasets":[121],"clearly":[122],"verify":[123],"superiority":[125],"our":[127],"proposed":[128],"method":[129],"baselines.":[132]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}