{"id":"https://openalex.org/W4402982220","doi":"https://doi.org/10.1109/icme57554.2024.10687543","title":"SADA: Self-Adaptive Domain Adaptation From Black-Box Predictors","display_name":"SADA: Self-Adaptive Domain Adaptation From Black-Box Predictors","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402982220","doi":"https://doi.org/10.1109/icme57554.2024.10687543"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687543","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5103326319","display_name":"Jiayang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayang Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103326425","display_name":"Kai Wang","orcid":"https://orcid.org/0009-0007-0468-5034"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101745859","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0001-9312-1861"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Tongji University,College of Electronic and Information Engineering,China"],"affiliations":[{"raw_affiliation_string":"Tongji University,College of Electronic and Information Engineering,China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009074046","display_name":"Xing Xu","orcid":"https://orcid.org/0000-0001-5685-3123"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103326319"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67344786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9280999898910522,"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":0.9280999898910522,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9086999893188477,"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/black-box","display_name":"Black box","score":0.7526907920837402},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.710899829864502},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.639641523361206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5913123488426208},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5008108615875244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31102925539016724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1419076919555664},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08529868721961975}],"concepts":[{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.7526907920837402},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.710899829864502},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.639641523361206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5913123488426208},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5008108615875244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31102925539016724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1419076919555664},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08529868721961975},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687543","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W2557626841","https://openalex.org/W2627183927","https://openalex.org/W3034218934","https://openalex.org/W3111984153","https://openalex.org/W4304083155","https://openalex.org/W4306913475","https://openalex.org/W4312283073","https://openalex.org/W4312519428","https://openalex.org/W4317796337","https://openalex.org/W4386071847","https://openalex.org/W4386160525","https://openalex.org/W4387968696","https://openalex.org/W4390871923","https://openalex.org/W6637618735","https://openalex.org/W6687400500","https://openalex.org/W6733814495","https://openalex.org/W6739651123","https://openalex.org/W6746171285","https://openalex.org/W6762913911","https://openalex.org/W6770196601","https://openalex.org/W6788079038","https://openalex.org/W6838215977"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Domain":[0,95],"adaptation":[1,9],"from":[2,12,47,98],"black-box":[3,99],"predictors":[4,100],"aims":[5],"to":[6,43,117,131],"perform":[7],"domain":[8,27,44,50,127],"using":[10],"predictions":[11,46],"a":[13,34,133],"model":[14,37,51,156],"trained":[15],"on":[16,38,102,162],"the":[17,31,39,48,69,73,103,108,163],"source":[18,26,49],"domain,":[19],"thereby":[20,75],"avoiding":[21,138],"privacy":[22],"issues":[23,78],"associated":[24],"with":[25],"data":[28,85,128,139],"and":[29,55,83,122,166],"enabling":[30],"training":[32,84],"of":[33,72,111],"portable":[35],"lightweight":[36],"target":[40,126],"domain.":[41],"Due":[42],"shift,":[45],"often":[52],"contain":[53],"noise":[54],"accumulate":[56],"confirmation":[57,62,150],"bias.":[58],"Past":[59],"works":[60],"addressing":[61],"bias":[63,151],"typically":[64],"employ":[65,123],"model-agnostic":[66],"methods,":[67],"overlooking":[68],"learning":[70,105,109],"status":[71,110],"model,":[74],"resulting":[76],"in":[77,155],"such":[79],"as":[80],"class":[81,135],"imbalance":[82],"scarcity.":[86,140],"To":[87],"address":[88],"these":[89],"two":[90],"issues,":[91],"we":[92],"propose":[93],"Self-Adaptive":[94],"Adaptation":[96],"(SADA)":[97],"based":[101],"model\u2019s":[104],"status,":[106],"tracking":[107],"each":[112],"class,":[113],"introducing":[114],"class-specific":[115],"thresholds":[116],"filter":[118],"out":[119],"noisy":[120],"labels,":[121],"an":[124],"adaptive":[125],"distribution":[129,136],"estimation":[130],"construct":[132],"balanced":[134],"while":[137],"Experimental":[141],"results":[142,161],"demonstrate":[143],"that":[144],"our":[145],"method":[146],"not":[147],"only":[148],"mitigates":[149],"but":[152],"also":[153],"helps":[154],"training.":[157],"We":[158],"achieve":[159],"state-of-the-art":[160],"Office-31,":[164],"Office-Home,":[165],"VisDA-C":[167],"datasets.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}