{"id":"https://openalex.org/W2982756875","doi":"https://doi.org/10.26615/978-954-452-056-4_025","title":"Self-Adaptation for Unsupervised Domain Adaptation","display_name":"Self-Adaptation for Unsupervised Domain Adaptation","publication_year":2019,"publication_date":"2019-10-22","ids":{"openalex":"https://openalex.org/W2982756875","doi":"https://doi.org/10.26615/978-954-452-056-4_025","mag":"2982756875"},"language":"en","primary_location":{"id":"doi:10.26615/978-954-452-056-4_025","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-056-4_025","pdf_url":"https://doi.org/10.26615/978-954-452-056-4_025","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings - Natural Language Processing in a Deep Learning World","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.26615/978-954-452-056-4_025","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065374968","display_name":"Xia Cui","orcid":"https://orcid.org/0000-0002-1726-3814"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Xia Cui","raw_affiliation_strings":["Department of Computer Science University of Liverpool Ashton Street, Liverpool L69 3BX, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Liverpool Ashton Street, Liverpool L69 3BX, United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073503574","display_name":"Danushka Bollegala","orcid":"https://orcid.org/0000-0003-4476-7003"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danushka Bollegala","raw_affiliation_strings":["Department of Computer Science University of Liverpool Ashton Street, Liverpool L69 3BX, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Liverpool Ashton Street, Liverpool L69 3BX, United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065374968"],"corresponding_institution_ids":["https://openalex.org/I146655781"],"apc_list":null,"apc_paid":null,"fwci":1.4002,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86593945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"222"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9829999804496765,"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/T10028","display_name":"Topic Modeling","score":0.9800000190734863,"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/adaptation","display_name":"Adaptation (eye)","score":0.7946463823318481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7338969707489014},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.708329975605011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4212360680103302},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10121366381645203},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.05529505014419556}],"concepts":[{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7946463823318481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338969707489014},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.708329975605011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4212360680103302},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10121366381645203},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.05529505014419556},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26615/978-954-452-056-4_025","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-056-4_025","pdf_url":"https://doi.org/10.26615/978-954-452-056-4_025","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings - Natural Language Processing in a Deep Learning World","raw_type":"proceedings-article"},{"id":"pmh:oai:e-space.mmu.ac.uk:631630","is_oa":false,"landing_page_url":"https://e-space.mmu.ac.uk/view/authors/f7b3bb73fa915fb9f009c9b9f5f9f0e1.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401617","display_name":"e-space (Manchester Metropolitan University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11983389","host_organization_name":"Manchester Metropolitan University","host_organization_lineage":["https://openalex.org/I11983389"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":{"id":"doi:10.26615/978-954-452-056-4_025","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-056-4_025","pdf_url":"https://doi.org/10.26615/978-954-452-056-4_025","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings - Natural Language Processing in a Deep Learning World","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982756875.pdf","grobid_xml":"https://content.openalex.org/works/W2982756875.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W143094320","https://openalex.org/W1522301498","https://openalex.org/W1595220809","https://openalex.org/W1597032530","https://openalex.org/W1731081199","https://openalex.org/W1956343362","https://openalex.org/W2048679005","https://openalex.org/W2095579012","https://openalex.org/W2101210369","https://openalex.org/W2118045473","https://openalex.org/W2122922389","https://openalex.org/W2123160630","https://openalex.org/W2125865219","https://openalex.org/W2133556223","https://openalex.org/W2138382875","https://openalex.org/W2140398982","https://openalex.org/W2145837098","https://openalex.org/W2153353890","https://openalex.org/W2158108973","https://openalex.org/W2163302275","https://openalex.org/W2238429470","https://openalex.org/W2248676660","https://openalex.org/W2250539671","https://openalex.org/W2594718649","https://openalex.org/W2771848019","https://openalex.org/W2777832646","https://openalex.org/W2785524755","https://openalex.org/W2962750142","https://openalex.org/W2963326042","https://openalex.org/W2964121744","https://openalex.org/W2964159141"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2997567050","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Lack":[0],"of":[1,160],"labelled":[2,38,70],"data":[3,39,71],"in":[4,14,60],"the":[5,37,41,51,54,61,67,73,81,88,96,107,114,118,126,146],"target":[6,82,97,108,120],"domain":[7,15,26,69,98,109,116,121,142],"for":[8,80,95,106,113,141],"training":[9],"is":[10],"a":[11,23,47,78,104,137],"common":[12],"problem":[13],"adaptation.":[16],"To":[17],"overcome":[18],"this":[19],"problem,":[20],"we":[21,44,65,102,111,124],"propose":[22],"novel":[24],"unsupervised":[25],"adaptation":[27,143],"method":[28,148],"that":[29,49,145,159],"combines":[30],"projection":[31,48,75,105],"and":[32,76,153,165],"self-training":[33],"based":[34],"approaches.":[35],"Using":[36],"from":[40],"source":[42,62,68,115],"domain,":[43],"first":[45],"learn":[46,103],"maximises":[50],"distance":[52,127],"among":[53],"nearest":[55,129],"neighbours":[56,130],"with":[57],"opposite":[58,132],"labels":[59,94],"domain.":[63],"Next,":[64],"project":[66],"using":[72,117],"learnt":[74],"train":[77],"classifier":[79,90],"class":[83],"prediction.":[84],"We":[85],"then":[86],"use":[87],"trained":[89],"to":[91,158],"predict":[92],"pseudo":[93,133],"unlabelled":[99],"data.":[100],"Finally,":[101],"as":[110],"did":[112],"pseudo-labelled":[119],"data,":[122],"where":[123],"maximise":[125],"between":[128],"having":[131],"labels.":[134],"Experiments":[135],"on":[136],"standard":[138],"benchmark":[139],"dataset":[140],"show":[144],"proposed":[147],"consistently":[149],"outperforms":[150],"numerous":[151],"baselines":[152],"returns":[154],"competitive":[155],"results":[156],"comparable":[157],"SOTA":[161],"including":[162],"self-training,":[163],"tri-training,":[164],"neural":[166],"adaptations.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2019-11-22T00:00:00"}
