{"id":"https://openalex.org/W2900191736","doi":"https://doi.org/10.1109/icassp.2019.8682549","title":"Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification","display_name":"Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2900191736","doi":"https://doi.org/10.1109/icassp.2019.8682549","mag":"2900191736"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5037471636","display_name":"Che-Ping Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Che-Ping Tsai","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040508737","display_name":"Hung-yi Lee","orcid":"https://orcid.org/0000-0002-9654-5747"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Yi Lee","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037471636"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.5601,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73510368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"3847","last_page":"3851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9959999918937683,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9959999918937683,"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":0.9937999844551086,"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":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7964367866516113},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.756680428981781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7065025568008423},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6916598677635193},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.6444182991981506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5951306819915771},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41376951336860657},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3321255147457123}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7964367866516113},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.756680428981781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7065025568008423},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6916598677635193},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.6444182991981506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5951306819915771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41376951336860657},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3321255147457123}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W787785461","https://openalex.org/W1514027499","https://openalex.org/W1686810756","https://openalex.org/W2108598243","https://openalex.org/W2133128938","https://openalex.org/W2133824856","https://openalex.org/W2156935079","https://openalex.org/W2163605009","https://openalex.org/W2182822465","https://openalex.org/W2183087644","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2335901184","https://openalex.org/W2336589871","https://openalex.org/W2404281525","https://openalex.org/W2405756170","https://openalex.org/W2405989770","https://openalex.org/W2410641892","https://openalex.org/W2463598282","https://openalex.org/W2547875792","https://openalex.org/W2560096627","https://openalex.org/W2604675517","https://openalex.org/W2736688973","https://openalex.org/W2787284976","https://openalex.org/W2949999304","https://openalex.org/W2962879692","https://openalex.org/W2963248507","https://openalex.org/W2963300078","https://openalex.org/W2963306618","https://openalex.org/W2963346784","https://openalex.org/W2963676620","https://openalex.org/W2963745697","https://openalex.org/W2963875806","https://openalex.org/W3100935401","https://openalex.org/W4295521014","https://openalex.org/W6622789128","https://openalex.org/W6630792627","https://openalex.org/W6637373629","https://openalex.org/W6679929812","https://openalex.org/W6684191040","https://openalex.org/W6685974025","https://openalex.org/W6686272741","https://openalex.org/W6703451452","https://openalex.org/W6713494006","https://openalex.org/W6713507025","https://openalex.org/W6713645886","https://openalex.org/W6729448088","https://openalex.org/W6730608392","https://openalex.org/W6735913928","https://openalex.org/W6736050844","https://openalex.org/W6741440215","https://openalex.org/W6746352052","https://openalex.org/W6748242889","https://openalex.org/W6752554729"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"Recent":[0],"work":[1],"has":[2],"shown":[3],"that":[4,78],"exploiting":[5],"relations":[6],"between":[7],"labels":[8],"improves":[9,81],"the":[10,46,48,79],"performance":[11],"of":[12,87],"multi-label":[13],"classification.":[14],"We":[15],"propose":[16],"a":[17],"novel":[18],"framework":[19],"based":[20],"on":[21,67],"generative":[22],"adversarial":[23],"networks":[24],"(GANs)":[25],"to":[26,33,53,60],"model":[27,34],"label":[28,35,42,55],"dependency.":[29],"The":[30],"discriminator":[31,80],"learns":[32,52],"dependency":[36],"by":[37],"discriminating":[38],"real":[39,61],"and":[40,65,75],"generated":[41],"sets.":[43],"To":[44],"fool":[45],"discriminator,":[47],"classifier,":[49],"or":[50],"generator,":[51],"generate":[54],"sets":[56],"with":[57],"dependencies":[58],"close":[59],"data.":[62],"Extensive":[63],"experiments":[64],"comparisons":[66],"two":[68],"large-scale":[69],"image":[70],"classification":[71],"benchmark":[72],"datasets":[73],"(MS-COCO":[74],"NUS-WIDE)":[76],"show":[77],"generalization":[82],"ability":[83],"for":[84],"different":[85],"kinds":[86],"models.":[88]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}