{"id":"https://openalex.org/W2904373341","doi":"https://doi.org/10.1609/aaai.v33i01.33015450","title":"Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks","display_name":"Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904373341","doi":"https://doi.org/10.1609/aaai.v33i01.33015450","mag":"2904373341"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33015450","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015450","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4485/4363","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4485/4363","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070982537","display_name":"Si Wu","orcid":"https://orcid.org/0000-0003-4022-0852"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Si Wu","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026657865","display_name":"Jian Zhong","orcid":"https://orcid.org/0000-0001-5756-4729"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhong","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625023","display_name":"Wenming Cao","orcid":"https://orcid.org/0000-0002-6908-8018"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenming Cao","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341968","display_name":"Rui Li","orcid":"https://orcid.org/0000-0002-8224-7888"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701158","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-0935-5890"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014196059","display_name":"Hau\u2212San Wong","orcid":"https://orcid.org/0000-0002-1530-7529"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hau-San Wong","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070982537"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.7287,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87960149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"33","issue":"01","first_page":"5450","last_page":"5457"},"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":0.996999979019165,"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":0.996999979019165,"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":0.8103508353233337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6657684445381165},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6508854031562805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6132166385650635},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.568045437335968},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5471481680870056},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5388633012771606},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.49948930740356445},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4892894923686981},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47199299931526184},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4421961009502411},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4351653456687927},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42411568760871887},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.099506676197052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06805247068405151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103508353233337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6657684445381165},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6508854031562805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6132166385650635},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.568045437335968},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5471481680870056},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5388633012771606},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.49948930740356445},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4892894923686981},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47199299931526184},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4421961009502411},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4351653456687927},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42411568760871887},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.099506676197052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06805247068405151},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33015450","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015450","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4485/4363","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33015450","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015450","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4485/4363","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4699999988079071,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G145909667","display_name":null,"funder_award_id":"11300715","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G2498485471","display_name":null,"funder_award_id":"7004884","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G5033022664","display_name":null,"funder_award_id":"61502173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6173841607","display_name":null,"funder_award_id":"2016A030310422","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8219553485","display_name":null,"funder_award_id":"2018ZD33","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904373341.pdf","grobid_xml":"https://content.openalex.org/works/W2904373341.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1731081199","https://openalex.org/W1821462560","https://openalex.org/W1882958252","https://openalex.org/W2100659887","https://openalex.org/W2112796928","https://openalex.org/W2118858186","https://openalex.org/W2159291411","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2335728318","https://openalex.org/W2478454054","https://openalex.org/W2584009249","https://openalex.org/W2594718649","https://openalex.org/W2617027347","https://openalex.org/W2626754561","https://openalex.org/W2627183927","https://openalex.org/W2744915377","https://openalex.org/W2766897166","https://openalex.org/W2767657961","https://openalex.org/W2770120573","https://openalex.org/W2771773135","https://openalex.org/W2786559811","https://openalex.org/W2953127297","https://openalex.org/W2962687275","https://openalex.org/W2962808524","https://openalex.org/W2962947361","https://openalex.org/W2963784072","https://openalex.org/W2963993484","https://openalex.org/W3118608800","https://openalex.org/W6631190155","https://openalex.org/W6637618735","https://openalex.org/W6638523607","https://openalex.org/W6674965006","https://openalex.org/W6684207430","https://openalex.org/W6687483927","https://openalex.org/W6720691552","https://openalex.org/W6725448924","https://openalex.org/W6734074887","https://openalex.org/W6739944922","https://openalex.org/W6742994538","https://openalex.org/W6746171285","https://openalex.org/W6748312029"],"related_works":["https://openalex.org/W2950475743","https://openalex.org/W4386603768","https://openalex.org/W2886711096","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W2590796488","https://openalex.org/W4389249638","https://openalex.org/W2734358244","https://openalex.org/W4388700941","https://openalex.org/W3015200942"],"abstract_inverted_index":{"For":[0],"unsupervised":[1],"domain":[2,26,53,60],"adaptation,":[3],"the":[4,14,20,24,34,70,74,96,110,114,139,144,159,162],"process":[5,112],"of":[6,23,48,57,73,113,143,164],"learning":[7,49,111],"domain-invariant":[8],"representations":[9],"could":[10],"be":[11,28,83],"dominated":[12],"by":[13,77],"labeled":[15],"source":[16],"data,":[17],"such":[18],"that":[19],"specific":[21,171],"characteristics":[22],"target":[25,38,79,97,103],"may":[27],"ignored.":[29],"In":[30],"order":[31],"to":[32,68,82,85,95,168],"improve":[33,69,158],"performance":[35,100],"in":[36,101,107],"inferring":[37,102],"labels,":[39],"we":[40,157],"propose":[41],"a":[42,52,120],"targetspecific":[43],"network":[44,76,91],"which":[45,106],"is":[46,65,119,147],"capable":[47],"collaboratively":[50],"with":[51],"adaptation":[54,115,154],"network,":[55],"instead":[56],"directly":[58],"minimizing":[59],"discrepancy.":[61],"A":[62],"clustering":[63],"regularization":[64],"also":[66],"utilized":[67],"generalization":[71],"capability":[72],"target-specific":[75],"forcing":[78],"data":[80],"points":[81],"close":[84],"accumulated":[86],"class":[87],"centers.":[88],"As":[89],"this":[90],"learns":[92],"and":[93,135,138,141,149],"specializes":[94],"domain,":[98],"its":[99],"labels":[104],"improves,":[105],"turn":[108],"facilitates":[109],"network.":[116],"Therefore,":[117],"there":[118],"mutually":[121],"beneficial":[122],"relationship":[123],"between":[124],"these":[125],"two":[126],"networks.":[127],"We":[128],"perform":[129],"extensive":[130],"experiments":[131],"on":[132,151,161],"multiple":[133,152],"digit":[134],"object":[136],"datasets,":[137],"effectiveness":[140],"superiority":[142],"proposed":[145],"approach":[146],"presented":[148],"verified":[150],"visual":[153],"benchmarks,":[155],"e.g.,":[156],"state-ofthe-art":[160],"task":[163],"MNIST\u2192SVHN":[165],"from":[166],"76.5%":[167],"84.9%":[169],"without":[170],"augmentation.":[172]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}