{"id":"https://openalex.org/W4285601386","doi":"https://doi.org/10.24963/ijcai.2022/410","title":"Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation","display_name":"Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285601386","doi":"https://doi.org/10.24963/ijcai.2022/410"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/410","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/410","pdf_url":"https://www.ijcai.org/proceedings/2022/0410.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0410.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Cheng Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Feng","raw_affiliation_strings":["Fujitsu R&D Center, Co., LTD, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Fujitsu R&D Center, Co., LTD, Beijing, China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065997113","display_name":"Chaoliang Zhong","orcid":"https://orcid.org/0000-0003-1697-6932"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoliang Zhong","raw_affiliation_strings":["Fujitsu R&D Center, Co., LTD, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Fujitsu R&D Center, Co., LTD, Beijing, China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440022","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0001-8623-4622"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["Fujitsu R&D Center, Co., LTD, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Fujitsu R&D Center, Co., LTD, Beijing, China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386005","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0001-5505-2113"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["Fujitsu R&D Center, Co., LTD, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Fujitsu R&D Center, Co., LTD, Beijing, China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327195","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0002-0967-4859"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["Fujitsu R&D Center, Co., LTD, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Fujitsu R&D Center, Co., LTD, Beijing, China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064928162","display_name":"Yasuto Yokota","orcid":"https://orcid.org/0000-0003-0512-6318"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yasuto Yokota","raw_affiliation_strings":["Fujitsu LTD"],"affiliations":[{"raw_affiliation_string":"Fujitsu LTD","institution_ids":["https://openalex.org/I4210159607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210159607"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05437202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2958","last_page":"2965"},"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":0.9951000213623047,"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/T12676","display_name":"Machine Learning and ELM","score":0.9733999967575073,"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":0.7858666181564331},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6831951141357422},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6005892157554626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5806576609611511},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5643990635871887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5250118374824524},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4102732539176941},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3303791880607605},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.13792264461517334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12418445944786072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858666181564331},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6831951141357422},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6005892157554626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5806576609611511},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5643990635871887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5250118374824524},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4102732539176941},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3303791880607605},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.13792264461517334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12418445944786072},{"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/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":1,"locations":[{"id":"doi:10.24963/ijcai.2022/410","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/410","pdf_url":"https://www.ijcai.org/proceedings/2022/0410.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/410","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/410","pdf_url":"https://www.ijcai.org/proceedings/2022/0410.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285601386.pdf","grobid_xml":"https://content.openalex.org/works/W4285601386.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W1731081199","https://openalex.org/W2110091014","https://openalex.org/W2131953535","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2560647685","https://openalex.org/W2593414223","https://openalex.org/W2593768305","https://openalex.org/W2627183927","https://openalex.org/W2734314755","https://openalex.org/W2786559811","https://openalex.org/W2795155917","https://openalex.org/W2810688793","https://openalex.org/W2902456977","https://openalex.org/W2937019265","https://openalex.org/W2951357534","https://openalex.org/W2963527685","https://openalex.org/W3012148446","https://openalex.org/W3013916576","https://openalex.org/W3015906308","https://openalex.org/W3109093849","https://openalex.org/W4295883599","https://openalex.org/W6755811877","https://openalex.org/W6775904646","https://openalex.org/W6786350528","https://openalex.org/W6791858558"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W4310285384","https://openalex.org/W3183027292","https://openalex.org/W4248896073","https://openalex.org/W4320853675"],"abstract_inverted_index":{"Existing":[0],"unsupervised":[1],"domain":[2,100],"adaptation":[3],"(UDA)":[4],"studies":[5],"focus":[6],"on":[7,107,171],"transferring":[8],"knowledge":[9],"in":[10,21,73,109,119],"an":[11],"offline":[12],"manner.":[13],"However,":[14],"many":[15],"tasks":[16,46,173],"involve":[17],"online":[18,54,111,152],"requirements,":[19],"especially":[20],"real-time":[22],"systems.":[23],"In":[24,154],"this":[25,80],"paper,":[26],"we":[27,132,157],"discuss":[28],"Online":[29],"UDA":[30,51,160],"(OUDA)":[31],"which":[32,60,141],"assumes":[33],"that":[34],"the":[35,74,88,96,99,116,128,143,151,155,180],"target":[36,90],"samples":[37],"are":[38,47],"arriving":[39],"sequentially":[40],"as":[41,146],"a":[42,66,70,84,104,134,147],"small":[43],"batch.":[44],"OUDA":[45,89,172],"challenging":[48],"for":[49,124],"prior":[50],"methods":[52],"since":[53],"training":[55],"suffers":[56],"from":[57],"catastrophic":[58],"forgetting":[59,108,130],"leads":[61],"to":[62,149],"poor":[63],"generalization.":[64],"Intuitively,":[65],"good":[67],"memory":[68],"is":[69,185],"crucial":[71],"factor":[72],"success":[75],"of":[76,182],"OUDA.":[77,125],"We":[78],"formalize":[79],"intuition":[81],"theoretically":[82],"with":[83,174],"generalization":[85],"bound":[86],"where":[87],"error":[91],"can":[92],"be":[93],"bounded":[94],"by":[95],"source":[97,136],"error,":[98],"discrepancy":[101],"distance,":[102],"and":[103,121,165,167],"novel":[105,135],"metric":[106],"continuous":[110],"learning.":[112],"Our":[113],"theory":[114],"illustrates":[115],"tradeoffs":[117],"inherent":[118],"learning":[120],"remembering":[122],"representations":[123],"To":[126],"minimize":[127],"proposed":[129],"metric,":[131],"propose":[133],"feature":[137],"distillation":[138],"(SFD)":[139],"method":[140],"utilizes":[142],"source-only":[144],"model":[145],"teacher":[148],"guide":[150],"training.":[153],"experiment,":[156],"modify":[158],"three":[159],"algorithms,":[161],"i.e.,":[162],"DANN,":[163],"CDAN,":[164],"MCC,":[166],"evaluate":[168],"their":[169],"performance":[170,181],"real-world":[175],"datasets.":[176],"By":[177],"applying":[178],"SFD,":[179],"all":[183],"baselines":[184],"significantly":[186],"improved.":[187]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
