{"id":"https://openalex.org/W4313591409","doi":"https://doi.org/10.1109/tai.2022.3233791","title":"Continual Unsupervised Domain Adaptation in Data-Constrained Environments","display_name":"Continual Unsupervised Domain Adaptation in Data-Constrained Environments","publication_year":2023,"publication_date":"2023-01-04","ids":{"openalex":"https://openalex.org/W4313591409","doi":"https://doi.org/10.1109/tai.2022.3233791"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2022.3233791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2022.3233791","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-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/A5044494955","display_name":"Abu Md Niamul Taufique","orcid":"https://orcid.org/0000-0001-7895-7679"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abu Md Niamul Taufique","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-7895-7679","affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045623579","display_name":"Chowdhury Sadman Jahan","orcid":"https://orcid.org/0000-0001-7303-201X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chowdhury Sadman Jahan","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-7303-201X","affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022041853","display_name":"Andreas Savakis","orcid":"https://orcid.org/0000-0002-9657-3027"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Savakis","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-9657-3027","affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":3.3311,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.93131756,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"5","issue":"1","first_page":"167","last_page":"178"},"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":0.984499990940094,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9075000286102295,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8109618425369263},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6779031157493591},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6668403148651123},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.666823148727417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.533303439617157},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48642802238464355},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4236096143722534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3438571095466614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08615392446517944},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.07361429929733276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8109618425369263},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6779031157493591},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6668403148651123},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.666823148727417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.533303439617157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48642802238464355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4236096143722534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3438571095466614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08615392446517944},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.07361429929733276},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2022.3233791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2022.3233791","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8243251439","display_name":null,"funder_award_id":"FA9550-22-P-0009","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1682403713","https://openalex.org/W1722318740","https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W1970073498","https://openalex.org/W1981998044","https://openalex.org/W2005295545","https://openalex.org/W2031342017","https://openalex.org/W2073256825","https://openalex.org/W2096698697","https://openalex.org/W2149466042","https://openalex.org/W2157444450","https://openalex.org/W2168101731","https://openalex.org/W2194775991","https://openalex.org/W2334687549","https://openalex.org/W2473930607","https://openalex.org/W2517041761","https://openalex.org/W2560647685","https://openalex.org/W2593768305","https://openalex.org/W2627183927","https://openalex.org/W2766897166","https://openalex.org/W2786446225","https://openalex.org/W2788388592","https://openalex.org/W2788768841","https://openalex.org/W2883725317","https://openalex.org/W2884282566","https://openalex.org/W2895723011","https://openalex.org/W2898892019","https://openalex.org/W2948734064","https://openalex.org/W2948959975","https://openalex.org/W2953816217","https://openalex.org/W2954929116","https://openalex.org/W2962793481","https://openalex.org/W2963540014","https://openalex.org/W2963826694","https://openalex.org/W2964189064","https://openalex.org/W2978573218","https://openalex.org/W2981512393","https://openalex.org/W2981705647","https://openalex.org/W2982204955","https://openalex.org/W2996787432","https://openalex.org/W2998043922","https://openalex.org/W2998115938","https://openalex.org/W3015906308","https://openalex.org/W3034591020","https://openalex.org/W3035235949","https://openalex.org/W3035519852","https://openalex.org/W3035701489","https://openalex.org/W3098511564","https://openalex.org/W3108280718","https://openalex.org/W3173329083","https://openalex.org/W3176543691","https://openalex.org/W3177379566","https://openalex.org/W3198317271","https://openalex.org/W4207036879","https://openalex.org/W4292787326","https://openalex.org/W4300114609","https://openalex.org/W4319988532","https://openalex.org/W6633949838","https://openalex.org/W6637154279","https://openalex.org/W6638523607","https://openalex.org/W6639480849","https://openalex.org/W6683161245","https://openalex.org/W6683438843","https://openalex.org/W6683633756","https://openalex.org/W6687400500","https://openalex.org/W6713955831","https://openalex.org/W6734335776","https://openalex.org/W6734376636","https://openalex.org/W6741217325","https://openalex.org/W6742852309","https://openalex.org/W6746171285","https://openalex.org/W6746643698","https://openalex.org/W6750109254","https://openalex.org/W6758248578","https://openalex.org/W6779157540","https://openalex.org/W6785863203","https://openalex.org/W6803552945","https://openalex.org/W6849896277","https://openalex.org/W7018611383"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W2955455867","https://openalex.org/W4321649381","https://openalex.org/W3180787869","https://openalex.org/W2997645659","https://openalex.org/W3203792196","https://openalex.org/W4295929828","https://openalex.org/W3156096827","https://openalex.org/W4287890001"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,61,75],"(DA)":[2],"techniques":[3],"aim":[4],"to":[5,114,166],"overcome":[6],"the":[7,11,18,31,112,123,127,138,150,178],"domain":[8,13,20,34,74],"shift":[9],"between":[10],"source":[12],"used":[14],"for":[15,71,81],"training":[16],"and":[17,60,110,121,172],"target":[19,33,54,140,170],"where":[21,52],"testing":[22],"takes":[23],"place.":[24],"However,":[25],"current":[26],"DA":[27,50,91,129,134,147],"methods":[28,135],"assume":[29],"that":[30,77],"entire":[32,139],"is":[35,62],"available":[36],"during":[37],"adaptation,":[38],"which":[39],"may":[40],"not":[41],"hold":[42],"in":[43,58,103,157],"practice.":[44],"We":[45,65,119,161],"introduce":[46],"a":[47,67,79,104],"new,":[48],"data-constrained":[49],"paradigm":[51],"unlabeled":[53],"samples":[55,96],"are":[56],"received":[57],"batches":[59,99],"performed":[63],"continually.":[64],"propose":[66],"novel":[68],"source-free":[69],"method":[70,154,174],"continual":[72,90,128],"unsupervised":[73],"(UDA)":[76],"utilizes":[78],"buffer":[80,105,107],"selective":[82],"replay":[83],"of":[84,126,152],"previously":[85],"seen":[86],"samples.":[87],"In":[88],"our":[89,117,153,164,173],"framework,":[92],"we":[93],"selectively":[94],"mix":[95],"from":[97],"incoming":[98],"with":[100,131,177],"data":[101,158],"stored":[102],"using":[106],"management":[108],"strategies":[109],"use":[111],"combination":[113],"incrementally":[115],"update":[116],"model.":[118],"evaluate":[120],"compare":[122],"classification":[124],"performance":[125],"approach":[130],"state-of-the-art":[132],"(SOTA)":[133],"based":[136],"on":[137,144],"domain.":[141],"Our":[142],"results":[143],"three":[145],"popular":[146],"datasets":[148],"demonstrate":[149],"benefits":[151],"when":[155],"operating":[156],"constrained":[159],"environments.":[160],"further":[162],"extend":[163],"experiments":[165],"adapting":[167],"over":[168],"multiple":[169],"domains":[171],"performs":[175],"favorably":[176],"SOTA":[179],"methods.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-11T05:44:25.926202","created_date":"2025-10-10T00:00:00"}
