{"id":"https://openalex.org/W4379033832","doi":"https://doi.org/10.1109/tcyb.2023.3271388","title":"Lifelong Dual Generative Adversarial Nets Learning in Tandem","display_name":"Lifelong Dual Generative Adversarial Nets Learning in Tandem","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4379033832","doi":"https://doi.org/10.1109/tcyb.2023.3271388","pmid":"https://pubmed.ncbi.nlm.nih.gov/37262118"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2023.3271388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2023.3271388","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.whiterose.ac.uk/id/eprint/200831/1/TCyber23.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100357221","display_name":"Fei Ye","orcid":"https://orcid.org/0000-0002-5894-2178"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fei Ye","raw_affiliation_strings":["Department of Computer Science, University of York, York, U.K","Department of Computer Science, University of York, York YO10 5GH, UK"],"raw_orcid":"https://orcid.org/0000-0002-5894-2178","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of York, York, U.K","institution_ids":["https://openalex.org/I52099693"]},{"raw_affiliation_string":"Department of Computer Science, University of York, York YO10 5GH, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002932489","display_name":"Adrian G. Bor\u015f","orcid":"https://orcid.org/0000-0001-7838-0021"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Adrian G. Bors","raw_affiliation_strings":["Department of Computer Science, University of York, York, U.K","Department of Computer Science, University of York, York YO10 5GH, UK"],"raw_orcid":"https://orcid.org/0000-0001-7838-0021","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of York, York, U.K","institution_ids":["https://openalex.org/I52099693"]},{"raw_affiliation_string":"Department of Computer Science, University of York, York YO10 5GH, UK","institution_ids":["https://openalex.org/I52099693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52099693"],"apc_list":null,"apc_paid":null,"fwci":0.7445,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72251908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"54","issue":"3","first_page":"1353","last_page":"1365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998000264167786,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998000264167786,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9968000054359436,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7619564533233643},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6901240348815918},{"id":"https://openalex.org/keywords/lifelong-learning","display_name":"Lifelong learning","score":0.6876969337463379},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6661942005157471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6118363738059998},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5567780137062073},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4889296591281891},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.47709423303604126},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4365326762199402},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41957294940948486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619564533233643},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6901240348815918},{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.6876969337463379},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6661942005157471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6118363738059998},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5567780137062073},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4889296591281891},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.47709423303604126},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4365326762199402},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41957294940948486},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2023.3271388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2023.3271388","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:37262118","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37262118","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null},{"id":"pmh:oai:eprints.whiterose.ac.uk:200831","is_oa":true,"landing_page_url":"https://orcid.org/0000-0001-7838-0021>","pdf_url":"https://eprints.whiterose.ac.uk/id/eprint/200831/1/TCyber23.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:eprints.whiterose.ac.uk:200831","is_oa":true,"landing_page_url":"https://orcid.org/0000-0001-7838-0021>","pdf_url":"https://eprints.whiterose.ac.uk/id/eprint/200831/1/TCyber23.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4379033832.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1786904711","https://openalex.org/W1834627138","https://openalex.org/W2001610032","https://openalex.org/W2010625607","https://openalex.org/W2064076387","https://openalex.org/W2112796928","https://openalex.org/W2115651492","https://openalex.org/W2117539524","https://openalex.org/W2473930607","https://openalex.org/W2531958295","https://openalex.org/W2560647685","https://openalex.org/W2617118670","https://openalex.org/W2619508703","https://openalex.org/W2750384547","https://openalex.org/W2788388592","https://openalex.org/W2808370801","https://openalex.org/W2943171176","https://openalex.org/W2947461406","https://openalex.org/W2963018216","https://openalex.org/W2963444790","https://openalex.org/W2963767194","https://openalex.org/W3005861412","https://openalex.org/W3035574324","https://openalex.org/W3109077483","https://openalex.org/W3111906407","https://openalex.org/W3112342379","https://openalex.org/W3118608800","https://openalex.org/W3135542706","https://openalex.org/W3136237185","https://openalex.org/W3136740235","https://openalex.org/W3153273997","https://openalex.org/W3175587171","https://openalex.org/W3180811329","https://openalex.org/W3187828835","https://openalex.org/W3195119269","https://openalex.org/W3195376085","https://openalex.org/W3197290407","https://openalex.org/W4311415873","https://openalex.org/W6638150201","https://openalex.org/W6683107984","https://openalex.org/W6720691552","https://openalex.org/W6735913928","https://openalex.org/W6738591009","https://openalex.org/W6738602802","https://openalex.org/W6741832134","https://openalex.org/W6743188669","https://openalex.org/W6743688258","https://openalex.org/W6745121187","https://openalex.org/W6748391871","https://openalex.org/W6751591294","https://openalex.org/W6751751081","https://openalex.org/W6753859023","https://openalex.org/W6755109808","https://openalex.org/W6762187592","https://openalex.org/W6762811270","https://openalex.org/W6763195353","https://openalex.org/W6763462227","https://openalex.org/W6765027224","https://openalex.org/W6767099637","https://openalex.org/W6771574350","https://openalex.org/W6779669310","https://openalex.org/W6787972765","https://openalex.org/W6791045696"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2995777218","https://openalex.org/W3197982909","https://openalex.org/W4286986507"],"abstract_inverted_index":{"Continually":[0],"capturing":[1],"novel":[2],"concepts":[3],"without":[4],"forgetting":[5,31],"is":[6,76,100],"one":[7,122],"of":[8,49,71,82,119],"the":[9,21,80,86,94,104,117,127,132,170,174,197],"most":[10,22],"critical":[11],"functions":[12],"sought":[13],"for":[14,102,181,196],"in":[15,64,177,200],"artificial":[16],"intelligence":[17],"systems.":[18],"However,":[19],"even":[20],"advanced":[23],"deep":[24],"learning":[25,68,107,113,131,163,204],"networks":[26,46,53],"are":[27,152],"prone":[28],"to":[29,78,126,147,172,207],"quickly":[30],"previously":[32],"learned":[33],"knowledge":[34,97,120],"after":[35,162],"training":[36,91,103],"with":[37,130],"new":[38,90,109],"data.":[39],"The":[40],"proposed":[41,101,198],"lifelong":[42,95,112,202],"dual":[43,87],"generative":[44,51],"adversarial":[45,52,141],"(LD-GANs)":[47],"consist":[48],"two":[50],"(GANs),":[54],"namely,":[55],"a":[56,69,135,178,193],"Teacher":[57,175],"and":[58,155],"an":[59,140],"Assistant":[60],"teaching":[61],"each":[62,108,164],"other":[63,128,148,208],"tandem":[65],"while":[66,106],"successively":[67],"series":[70],"tasks.":[72],"A":[73,89],"single":[74],"discriminator":[75],"used":[77],"decide":[79],"realism":[81],"generated":[83],"images":[84],"by":[85],"GANs.":[88],"algorithm,":[92],"called":[93],"self":[96],"distillation":[98],"(LSKD)":[99],"LD-GAN":[105],"task":[110],"during":[111,188],"(LLL).":[114],"LSKD":[115],"enables":[116],"transfer":[118],"from":[121,134],"more":[123],"knowledgeable":[124],"player":[125],"jointly":[129],"information":[133],"newly":[136],"given":[137,165],"dataset,":[138],"within":[139],"playing":[142],"game":[143],"setting.":[144],"In":[145],"contrast":[146],"LLL":[149],"models,":[150],"LD-GANs":[151,171],"memory":[153],"efficient":[154],"does":[156],"not":[157],"require":[158],"freezing":[159],"any":[160],"parameters":[161],"task.":[166],"Furthermore,":[167],"we":[168],"extend":[169],"being":[173],"module":[176],"Teacher-Student":[179],"network":[180],"assimilating":[182],"data":[183],"representations":[184],"across":[185],"several":[186],"domains":[187],"LLL.":[189],"Experimental":[190],"results":[191],"indicate":[192],"better":[194],"performance":[195],"framework":[199],"unsupervised":[201],"representation":[203],"when":[205],"compared":[206],"methods.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}