{"id":"https://openalex.org/W3173855227","doi":"https://doi.org/10.1609/aaai.v35i9.16946","title":"Slimmable Generative Adversarial Networks","display_name":"Slimmable Generative Adversarial Networks","publication_year":2021,"publication_date":"2021-05-18","ids":{"openalex":"https://openalex.org/W3173855227","doi":"https://doi.org/10.1609/aaai.v35i9.16946","mag":"3173855227"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v35i9.16946","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i9.16946","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/16946/16753","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/16946/16753","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101955015","display_name":"Liang Hou","orcid":"https://orcid.org/0000-0002-4904-5694"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Hou","raw_affiliation_strings":["CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039592275","display_name":"Zehuan Yuan","orcid":"https://orcid.org/0000-0002-0349-9367"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zehuan Yuan","raw_affiliation_strings":["ByteDance AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance AI Lab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101670806","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0003-0502-168X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["SKLSDE, Institute of Artificial Intelligence, Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SKLSDE, Institute of Artificial Intelligence, Beihang University","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4210105595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047897879","display_name":"Huawei Shen","orcid":"https://orcid.org/0000-0002-1081-8119"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Shen","raw_affiliation_strings":["CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029998682","display_name":"Xueqi Cheng","orcid":"https://orcid.org/0000-0002-5201-8195"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqi Cheng","raw_affiliation_strings":["CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055085354","display_name":"Changhu Wang","orcid":"https://orcid.org/0000-0001-8373-2597"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changhu Wang","raw_affiliation_strings":["ByteDance AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance AI Lab","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101955015"],"corresponding_institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.4443,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.88495702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"9","first_page":"7746","last_page":"7753"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9909999966621399,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9846000075340271,"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":0.7833687663078308},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.733404278755188},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.630887508392334},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.612329363822937},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5556306838989258},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5039102435112},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5025832653045654},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4121449291706085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4051451086997986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39024752378463745},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.263869971036911}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7833687663078308},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.733404278755188},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.630887508392334},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.612329363822937},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5556306838989258},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5039102435112},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5025832653045654},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4121449291706085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4051451086997986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39024752378463745},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.263869971036911},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v35i9.16946","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i9.16946","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/16946/16753","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v35i9.16946","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v35i9.16946","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/16946/16753","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G5375682351","display_name":null,"funder_award_id":"91746301","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/W3173855227.pdf","grobid_xml":"https://content.openalex.org/works/W3173855227.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2194775991","https://openalex.org/W2419501139","https://openalex.org/W2571271672","https://openalex.org/W2592796789","https://openalex.org/W2727849499","https://openalex.org/W2739748921","https://openalex.org/W2768546798","https://openalex.org/W2785678896","https://openalex.org/W2785685510","https://openalex.org/W2787579267","https://openalex.org/W2803654066","https://openalex.org/W2804078698","https://openalex.org/W2893749619","https://openalex.org/W2905741102","https://openalex.org/W2906643110","https://openalex.org/W2912851681","https://openalex.org/W2921499784","https://openalex.org/W2947681860","https://openalex.org/W2951001719","https://openalex.org/W2952716587","https://openalex.org/W2962935523","https://openalex.org/W2963312584","https://openalex.org/W2963373786","https://openalex.org/W2963684088","https://openalex.org/W2963981733","https://openalex.org/W2981698279","https://openalex.org/W3023473507","https://openalex.org/W3035147638","https://openalex.org/W3042407912","https://openalex.org/W3090108845","https://openalex.org/W3094786017","https://openalex.org/W3108970435","https://openalex.org/W4225547403","https://openalex.org/W4287728236","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W4394668580","https://openalex.org/W6687483927","https://openalex.org/W6718379498","https://openalex.org/W6735913928","https://openalex.org/W6752378368","https://openalex.org/W6757036269","https://openalex.org/W6777600729","https://openalex.org/W6783329413"],"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":{"Generative":[0],"adversarial":[1],"networks":[2],"(GANs)":[3],"have":[4],"achieved":[5],"remarkable":[6],"progress":[7],"in":[8,24],"recent":[9],"years,":[10],"but":[11],"the":[12,57,60,80,85,121],"continuously":[13],"growing":[14],"scale":[15],"of":[16,37,59,89],"models":[17],"make":[18],"them":[19],"challenging":[20],"to":[21,41,62,78,103],"deploy":[22],"widely":[23],"practical":[25],"applications.":[26],"In":[27,45],"particular,":[28],"for":[29,109],"real-time":[30],"generation":[31],"tasks,":[32],"different":[33,38,90,125],"devices":[34],"require":[35],"generators":[36,88,102],"sizes":[39],"due":[40],"varying":[42],"computing":[43],"power.":[44],"this":[46],"paper,":[47],"we":[48,70,92,112],"introduce":[49],"slimmable":[50,81],"GANs":[51],"(SlimGANs),":[52],"which":[53],"can":[54],"flexibly":[55],"switch":[56],"width":[58],"generator":[61],"accommodate":[63],"various":[64],"quality-efficiency":[65],"trade-offs":[66],"at":[67],"runtime.":[68],"Specifically,":[69],"leverage":[71],"multiple":[72],"discriminators":[73],"that":[74,99,119],"share":[75],"partial":[76],"parameters":[77],"train":[79],"generator.":[82],"To":[83],"facilitate":[84],"consistency":[86],"between":[87],"widths,":[91],"present":[93],"a":[94,114,139],"stepwise":[95],"inplace":[96],"distillation":[97],"technique":[98],"encourages":[100],"narrow":[101],"learn":[104],"from":[105],"wide":[106],"ones.":[107],"As":[108],"class-conditional":[110],"generation,":[111],"propose":[113],"sliceable":[115],"conditional":[116],"batch":[117],"normalization":[118],"incorporates":[120],"label":[122],"information":[123],"into":[124],"widths.":[126],"Our":[127],"methods":[128],"are":[129],"validated,":[130],"both":[131],"quantitatively":[132],"and":[133,138],"qualitatively,":[134],"by":[135],"extensive":[136],"experiments":[137],"detailed":[140],"ablation":[141],"study.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}