{"id":"https://openalex.org/W4408354371","doi":"https://doi.org/10.1109/icassp49660.2025.10890768","title":"UIDAPLE: Unsupervised Incremental Domain Adaptation through Adaptive Prompt Learning","display_name":"UIDAPLE: Unsupervised Incremental Domain Adaptation through Adaptive Prompt Learning","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354371","doi":"https://doi.org/10.1109/icassp49660.2025.10890768"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5053958137","display_name":"Samrat Kumar Mukherjee","orcid":"https://orcid.org/0000-0002-8839-0140"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Samrat Mukherjee","raw_affiliation_strings":["Indian Institute of Technology, Bombay,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029123468","display_name":"Tanuj Sur","orcid":"https://orcid.org/0000-0001-5298-5241"},"institutions":[{"id":"https://openalex.org/I19149307","display_name":"Chennai Mathematical Institute","ror":"https://ror.org/04zp24820","country_code":"IN","type":"education","lineage":["https://openalex.org/I19149307"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanuj Sur","raw_affiliation_strings":["Chennai Mathematical Institute,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Chennai Mathematical Institute,Chennai,India","institution_ids":["https://openalex.org/I19149307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116594491","display_name":"Saurish Seksaria","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saurish Seksaria","raw_affiliation_strings":["Indian Institute of Technology, Bombay,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016405213","display_name":"Subhasis Chaudhuri","orcid":"https://orcid.org/0000-0002-1680-0016"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhasis Chaudhuri","raw_affiliation_strings":["Indian Institute of Technology, Bombay,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025034643","display_name":"Gemma Roig","orcid":"https://orcid.org/0000-0002-6439-8076"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gemma Roig","raw_affiliation_strings":["Goethe University,Frankfurt,Germany"],"affiliations":[{"raw_affiliation_string":"Goethe University,Frankfurt,Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020786167","display_name":"Biplab Banerjee","orcid":"https://orcid.org/0000-0001-8371-8138"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Biplab Banerjee","raw_affiliation_strings":["Indian Institute of Technology, Bombay,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053958137"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":2.1819,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87537935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"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":0.8848000168800354,"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":0.8848000168800354,"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/domain-adaptation","display_name":"Domain adaptation","score":0.8286975622177124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7543997764587402},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6605949997901917},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.575745701789856},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4584680497646332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4453158676624298},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3815170228481293},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11598807573318481},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05291786789894104},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.04574766755104065}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.8286975622177124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7543997764587402},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6605949997901917},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.575745701789856},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4584680497646332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4453158676624298},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3815170228481293},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11598807573318481},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05291786789894104},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.04574766755104065},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 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":29,"referenced_works":["https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2593800221","https://openalex.org/W2627183927","https://openalex.org/W2963073217","https://openalex.org/W2963826694","https://openalex.org/W2981720610","https://openalex.org/W3163939464","https://openalex.org/W3198377975","https://openalex.org/W4207036879","https://openalex.org/W4283066310","https://openalex.org/W4312310776","https://openalex.org/W4319300947","https://openalex.org/W4390189604","https://openalex.org/W4390190228","https://openalex.org/W4394856208","https://openalex.org/W4402774099","https://openalex.org/W6697673422","https://openalex.org/W6761687776","https://openalex.org/W6780226713","https://openalex.org/W6784333009","https://openalex.org/W6788125050","https://openalex.org/W6791353385","https://openalex.org/W6841536812","https://openalex.org/W6842574522","https://openalex.org/W6845730195","https://openalex.org/W6849445909","https://openalex.org/W6857512260","https://openalex.org/W6859291984"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3203792196","https://openalex.org/W3196155444","https://openalex.org/W4321649381","https://openalex.org/W4321844043","https://openalex.org/W3210156800","https://openalex.org/W2997645659","https://openalex.org/W4390062853"],"abstract_inverted_index":{"Continual":[0],"learning":[1,95,104],"poses":[2],"significant":[3],"challenges":[4],"for":[5,86],"deep":[6],"neural":[7],"networks,":[8],"notably":[9],"catastrophic":[10,132],"forgetting,":[11],"particularly":[12],"when":[13],"faced":[14],"with":[15,53],"shifting":[16],"data":[17],"distributions":[18],"that":[19,69,119,141],"compromise":[20],"previously":[21],"acquired":[22],"knowledge.":[23],"This":[24],"paper":[25],"tackles":[26],"these":[27],"issues":[28],"within":[29],"the":[30,38,78,84,97],"Unsupervised":[31],"Incremental":[32],"Domain":[33],"Adaptation":[34],"(UIDA)":[35],"framework,":[36],"where":[37],"initial":[39],"source":[40,99],"domain":[41,88,100],"is":[42],"labeled,":[43],"but":[44],"subsequent":[45],"domains":[46,107],"are":[47],"not.":[48],"Existing":[49],"methods":[50],"often":[51],"struggle":[52],"limited":[54],"cross-domain":[55],"generalization":[56],"and":[57,101,128],"adaptation":[58],"capabilities.":[59],"As":[60],"a":[61,66,71],"remedy,":[62],"we":[63],"introduce":[64],"UIDAPLE,":[65],"novel":[67],"approach":[68],"utilizes":[70],"unified":[72],"prompt":[73,94],"across":[74,123],"all":[75],"domains,":[76,124],"leveraging":[77],"foundation":[79],"model":[80],"CLIP":[81],"to":[82,105,130],"obviate":[83],"need":[85],"isolated":[87],"treatments.":[89],"Specifically,":[90],"UIDAPLE":[91,142],"implements":[92],"supervised":[93],"in":[96,148],"labeled":[98],"extends":[102],"this":[103],"unlabeled":[106],"through":[108],"confidence-based":[109],"adaptation.":[110],"We":[111],"also":[112],"present":[113],"an":[114],"efficient":[115],"parameter":[116],"alignment":[117],"strategy":[118],"maintains":[120],"semantic":[121],"coherence":[122],"effectively":[125],"balancing":[126],"stability":[127],"plasticity":[129],"combat":[131],"forgetting.":[133],"Extensive":[134],"evaluations":[135],"on":[136],"two":[137],"benchmark":[138],"datasets":[139],"reveal":[140],"markedly":[143],"surpasses":[144],"other":[145],"UIDA":[146],"techniques":[147],"performance.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
