{"id":"https://openalex.org/W3164376598","doi":"https://doi.org/10.1109/tmm.2021.3080516","title":"Informative Feature Disentanglement for Unsupervised Domain Adaptation","display_name":"Informative Feature Disentanglement for Unsupervised Domain Adaptation","publication_year":2021,"publication_date":"2021-05-20","ids":{"openalex":"https://openalex.org/W3164376598","doi":"https://doi.org/10.1109/tmm.2021.3080516","mag":"3164376598"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3080516","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3080516","pdf_url":"https://ieeexplore.ieee.org/ielx7/6046/9687854/09437964.pdf","source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6046/9687854/09437964.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047939628","display_name":"Wanxia Deng","orcid":"https://orcid.org/0000-0002-4179-0059"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanxia Deng","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics, and Information System, College of Electronic Science, National University of Defense technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-4179-0059","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics, and Information System, College of Electronic Science, National University of Defense technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004800456","display_name":"Lingjun Zhao","orcid":"https://orcid.org/0000-0001-9210-8729"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingjun Zhao","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics, and Information System, College of Electronic Science, National University of Defense technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics, and Information System, College of Electronic Science, National University of Defense technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069241620","display_name":"Qing Liao","orcid":"https://orcid.org/0000-0003-1012-5301"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Liao","raw_affiliation_strings":["Department of Computer Science, and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1012-5301","affiliations":[{"raw_affiliation_string":"Department of Computer Science, and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032623398","display_name":"Deke Guo","orcid":"https://orcid.org/0000-0003-4894-5540"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deke Guo","raw_affiliation_strings":["College of System Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4894-5540","affiliations":[{"raw_affiliation_string":"College of System Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082887216","display_name":"Gangyao Kuang","orcid":"https://orcid.org/0000-0003-2620-889X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangyao Kuang","raw_affiliation_strings":["State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics, and Information System, College of Electronic Science, National University of Defense technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics, and Information System, College of Electronic Science, National University of Defense technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071074935","display_name":"Dewen Hu","orcid":"https://orcid.org/0000-0001-7357-0053"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewen Hu","raw_affiliation_strings":["College of Intelligent Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-7357-0053","affiliations":[{"raw_affiliation_string":"College of Intelligent Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014611768","display_name":"Matti Pietik\u00e4inen","orcid":"https://orcid.org/0000-0003-2263-6731"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Matti Pietikainen","raw_affiliation_strings":["Center for Machine Vision, and Signal analysis, University of Oulu, Oulu, Finland"],"raw_orcid":"https://orcid.org/0000-0003-2263-6731","affiliations":[{"raw_affiliation_string":"Center for Machine Vision, and Signal analysis, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418783","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-2011-2873"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["CN","FI"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["College of System Engineering, National University of Defense Technology, Changsha, China","Center for Machine Vision, and Signal analysis, University of Oulu, Oulu, Finland"],"raw_orcid":"https://orcid.org/0000-0002-2011-2873","affiliations":[{"raw_affiliation_string":"College of System Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Center for Machine Vision, and Signal analysis, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6404,"has_fulltext":true,"cited_by_count":51,"citation_normalized_percentile":{"value":0.95478304,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"24","issue":null,"first_page":"2407","last_page":"2421"},"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":0.9991000294685364,"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":0.9991000294685364,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9577000141143799,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9355999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8053898215293884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6733261346817017},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6237460374832153},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6202934980392456},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5738633275032043},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5465993881225586},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5158076286315918},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5038437247276306},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5007965564727783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49789881706237793},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.46101465821266174},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4437444806098938},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4329542815685272},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2789251506328583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09592369198799133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8053898215293884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6733261346817017},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6237460374832153},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6202934980392456},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5738633275032043},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5465993881225586},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5158076286315918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5038437247276306},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5007965564727783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49789881706237793},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.46101465821266174},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4437444806098938},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4329542815685272},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2789251506328583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09592369198799133},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2021.3080516","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3080516","pdf_url":"https://ieeexplore.ieee.org/ielx7/6046/9687854/09437964.pdf","source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2022082956605","is_oa":true,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2022082956605","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tmm.2021.3080516","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3080516","pdf_url":"https://ieeexplore.ieee.org/ielx7/6046/9687854/09437964.pdf","source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1761424634","display_name":"\u7d27\u81f4\u9ad8\u6548\u56fe\u50cf\u7eb9\u7406\u7279\u5f81\u8868\u8fbe\u4e0e\u5b66\u4e60\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61872379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2118812850","display_name":null,"funder_award_id":"71701205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2443591357","display_name":"LESLearn: Label, Energy and Sample Efficient Feature Representation and Learning in Computer Vision","funder_award_id":"331883","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G3345753943","display_name":null,"funder_award_id":"61701508","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5504334139","display_name":null,"funder_award_id":"2018JJ3613","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G5670962352","display_name":null,"funder_award_id":"62036013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7713788294","display_name":null,"funder_award_id":"62022091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8008312880","display_name":null,"funder_award_id":"331883","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3164376598.pdf","grobid_xml":"https://content.openalex.org/works/W3164376598.grobid-xml"},"referenced_works_count":90,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1660353176","https://openalex.org/W1722318740","https://openalex.org/W1861492603","https://openalex.org/W2031342017","https://openalex.org/W2099471712","https://openalex.org/W2104094955","https://openalex.org/W2117539524","https://openalex.org/W2131953535","https://openalex.org/W2145287260","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2214409633","https://openalex.org/W2478454054","https://openalex.org/W2584009249","https://openalex.org/W2593768305","https://openalex.org/W2605488490","https://openalex.org/W2611292810","https://openalex.org/W2617027347","https://openalex.org/W2627183927","https://openalex.org/W2756073160","https://openalex.org/W2766897166","https://openalex.org/W2770645414","https://openalex.org/W2779610669","https://openalex.org/W2786808285","https://openalex.org/W2788768841","https://openalex.org/W2798377719","https://openalex.org/W2798593490","https://openalex.org/W2798681837","https://openalex.org/W2804860796","https://openalex.org/W2885722640","https://openalex.org/W2889945482","https://openalex.org/W2899771611","https://openalex.org/W2904706552","https://openalex.org/W2919206487","https://openalex.org/W2923769473","https://openalex.org/W2935033494","https://openalex.org/W2946812986","https://openalex.org/W2948069880","https://openalex.org/W2948760929","https://openalex.org/W2949813473","https://openalex.org/W2953816217","https://openalex.org/W2962687275","https://openalex.org/W2962835731","https://openalex.org/W2962986791","https://openalex.org/W2963168418","https://openalex.org/W2963275094","https://openalex.org/W2963403405","https://openalex.org/W2963532621","https://openalex.org/W2963993484","https://openalex.org/W2964055354","https://openalex.org/W2964288524","https://openalex.org/W2965954137","https://openalex.org/W2979509742","https://openalex.org/W2979920800","https://openalex.org/W2980096013","https://openalex.org/W2982204955","https://openalex.org/W2984957018","https://openalex.org/W2988916019","https://openalex.org/W2998115938","https://openalex.org/W3034726363","https://openalex.org/W3035519852","https://openalex.org/W3132455321","https://openalex.org/W4302286858","https://openalex.org/W6633949838","https://openalex.org/W6636267554","https://openalex.org/W6637108112","https://openalex.org/W6639480849","https://openalex.org/W6640963894","https://openalex.org/W6682132143","https://openalex.org/W6682778277","https://openalex.org/W6683633756","https://openalex.org/W6695692224","https://openalex.org/W6713955831","https://openalex.org/W6720691552","https://openalex.org/W6725448924","https://openalex.org/W6729906282","https://openalex.org/W6730095352","https://openalex.org/W6734074887","https://openalex.org/W6734335776","https://openalex.org/W6734451663","https://openalex.org/W6746171285","https://openalex.org/W6746282794","https://openalex.org/W6748312029","https://openalex.org/W6750109254","https://openalex.org/W6751635369","https://openalex.org/W6752576115","https://openalex.org/W6756663807","https://openalex.org/W6762753787","https://openalex.org/W6763066025"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3034688404","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4389832810","https://openalex.org/W4220682630","https://openalex.org/W3181622257"],"abstract_inverted_index":{"Unsupervised":[0],"Domain":[1],"Adaptation":[2],"(UDA)":[3],"aims":[4],"at":[5],"learning":[6,44],"a":[7,18,23,85,140],"classifier":[8],"for":[9,162,169,211],"an":[10],"unlabeled":[11],"target":[12,171],"domain":[13,21,165,193],"by":[14,139],"transferring":[15],"knowledge":[16],"from":[17,131,147,180],"labeled":[19],"source":[20,164],"with":[22,96,144],"related":[24],"but":[25],"different":[26],"distribution.":[27],"The":[28,122],"strategy":[29],"of":[30,69,76,204],"aligning":[31],"the":[32,57,62,74,97,101,107,120,132,148,151,156,163,170,181,185,202,205],"two":[33],"domains":[34],"in":[35],"latent":[36],"feature":[37,117],"space":[38],"via":[39],"metric":[40,102],"discrepancy":[41,103],"or":[42,100],"adversarial":[43,98],"has":[45],"achieved":[46],"considerable":[47],"progress.":[48],"However,":[49],"these":[50],"existing":[51],"approaches":[52],"mainly":[53],"focus":[54],"on":[55,190],"adapting":[56],"entire":[58],"image":[59],"and":[60,113,166,199,208],"ignore":[61],"bottleneck":[63],"that":[64],"occurs":[65],"when":[66],"forced":[67],"adaptation":[68,194],"uninformative":[70,133],"domain-specific":[71,134,182],"variations":[72],"undermines":[73],"effectiveness":[75,203],"learned":[77],"features.":[78],"To":[79],"address":[80],"this":[81,174],"problem,":[82],"we":[83],"propose":[84],"novel":[86],"component":[87],"called":[88],"Informative":[89],"Feature":[90],"Disentanglement":[91],"(IFD),":[92],"which":[93,136],"is":[94,125],"equipped":[95],"network":[99,109],"model,":[104],"respectively.":[105],"Accordingly,":[106],"new":[108],"architectures,":[110],"named":[111],"IFDAN":[112,207],"IFDMN,":[114],"enable":[115],"informative":[116,129,176],"refinement":[118],"before":[119,184],"adaptation.":[121,186],"proposed":[123,206],"IFD":[124,157],"designed":[126],"to":[127,150,158],"disentangle":[128],"features":[130,177],"variations,":[135],"are":[137,178],"produced":[138],"Variational":[141],"Autoencoder":[142],"(VAE)":[143],"lateral":[145],"connections":[146],"encoder":[149],"decoder.":[152],"We":[153],"cooperatively":[154],"apply":[155],"conduct":[159],"supervised":[160],"disentanglement":[161,168],"unsupervised":[167],"domain.":[172],"In":[173],"way,":[175],"disentangled":[179],"details":[183],"Extensive":[187],"experimental":[188],"results":[189],"three":[191],"gold-standard":[192],"datasets,":[195],"e.g.,":[196],"Office31,":[197],"Office-Home":[198],"VisDA-C,":[200],"demonstrate":[201],"IFDMN":[209],"models":[210],"UDA.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
