{"id":"https://openalex.org/W4372268520","doi":"https://doi.org/10.1109/icassp49357.2023.10096340","title":"Multiple Domain-Adversarial Ensemble Learning for Domain Generalization","display_name":"Multiple Domain-Adversarial Ensemble Learning for Domain Generalization","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372268520","doi":"https://doi.org/10.1109/icassp49357.2023.10096340"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5010507755","display_name":"Ze-Yu Mi","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze-Yu Mi","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054643425","display_name":"Kun Long","orcid":"https://orcid.org/0009-0006-7495-3201"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Long","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111673780","display_name":"Yu-Bin Yang","orcid":"https://orcid.org/0000-0002-3764-1114"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Bin Yang","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9921000003814697,"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/T11581","display_name":"Viral Infections and Outbreaks Research","score":0.9538000226020813,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.8094807863235474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7575252056121826},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.731316328048706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6959112882614136},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.556991457939148},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5497437715530396},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5443796515464783},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5292702913284302},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.512973964214325},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.496368944644928},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10556685924530029}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.8094807863235474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575252056121826},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.731316328048706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6959112882614136},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.556991457939148},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5497437715530396},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5443796515464783},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5292702913284302},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.512973964214325},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.496368944644928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10556685924530029},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":25,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2627183927","https://openalex.org/W2763549966","https://openalex.org/W2787226294","https://openalex.org/W2798658180","https://openalex.org/W2958360136","https://openalex.org/W2963118547","https://openalex.org/W2963168418","https://openalex.org/W2963263347","https://openalex.org/W2968634921","https://openalex.org/W2981368934","https://openalex.org/W2991162376","https://openalex.org/W2998712190","https://openalex.org/W3011304563","https://openalex.org/W3034779842","https://openalex.org/W3088222393","https://openalex.org/W3109986233","https://openalex.org/W3133542152","https://openalex.org/W3175308890","https://openalex.org/W3183508146","https://openalex.org/W3201074629","https://openalex.org/W6726497184","https://openalex.org/W6748426227","https://openalex.org/W6783651088","https://openalex.org/W6798189970"],"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/W1983331834","https://openalex.org/W2900584650"],"abstract_inverted_index":{"Domain":[0],"generalization":[1,79,153],"(DG)":[2],"aims":[3],"to":[4,17,56,76,109,121,144],"train":[5,110],"a":[6,66,115,134],"model":[7,113],"on":[8,31,157],"multiple":[9,50,73],"source":[10],"domains":[11],"which":[12,141],"can":[13],"be":[14,57,82],"well":[15],"generalized":[16],"the":[18,34,78,119,152,161],"unseen":[19],"target":[20],"domains.":[21],"Currently,":[22],"most":[23],"DG":[24,51,70,158],"techniques":[25],"in":[26,114],"vision":[27],"tasks":[28],"mainly":[29],"focus":[30],"one":[32],"of":[33,48,88,163],"three":[35,89],"research":[36,52,74,90],"lines":[37,53,75],"(i.e.,":[38],"data":[39,97],"manipulation,":[40],"representation":[41],"learning,":[42,93],"and":[43,59,96,149],"learning":[44,107],"strategy).":[45],"The":[46],"direction":[47],"combining":[49],"still":[54],"remains":[55],"studied":[58],"explored.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64,84],"propose":[65],"unified":[67],"framework":[68,101],"for":[69],"that":[71],"combines":[72],"enhance":[77,151],"ability.":[80],"To":[81],"specific,":[83],"combine":[85],"representative":[86],"strategies":[87],"lines:":[91],"ensemble":[92,106],"domain":[94,116,130,135],"alignment,":[95],"augmentation.":[98],"A":[99],"basic":[100],"is":[102,125,139,142],"built":[103],"with":[104,127],"an":[105,111,128],"strategy":[108],"expert":[112],"unit.":[117],"Besides,":[118],"ability":[120],"learn":[122],"domain-independent":[123],"features":[124],"enhanced":[126],"adversarial-based":[129],"alignment":[131],"strategy.":[132],"Furthermore,":[133],"transformation":[136],"network":[137],"(DoTNet)":[138],"introduced,":[140],"expected":[143],"generate":[145],"additional":[146],"deviated":[147],"images":[148],"further":[150],"capability.":[154],"Extensive":[155],"experiments":[156],"datasets":[159],"demonstrate":[160],"effectiveness":[162],"our":[164],"approach.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
