{"id":"https://openalex.org/W3109093849","doi":"https://doi.org/10.1007/978-3-030-58589-1_28","title":"Minimum Class Confusion for Versatile Domain Adaptation","display_name":"Minimum Class Confusion for Versatile Domain Adaptation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3109093849","doi":"https://doi.org/10.1007/978-3-030-58589-1_28","mag":"3109093849"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58589-1_28","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58589-1_28","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5101705012","display_name":"Ying Jin","orcid":"https://orcid.org/0000-0003-3577-1289"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Jin","raw_affiliation_strings":["School of Software, BNRist, Research Center for Big Data, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Research Center for Big Data, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059586503","display_name":"Ximei Wang","orcid":"https://orcid.org/0009-0007-3766-0300"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ximei Wang","raw_affiliation_strings":["School of Software, BNRist, Research Center for Big Data, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Research Center for Big Data, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019241553","display_name":"Mingsheng Long","orcid":"https://orcid.org/0000-0001-9421-463X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsheng Long","raw_affiliation_strings":["School of Software, BNRist, Research Center for Big Data, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Research Center for Big Data, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100373517","display_name":"Jianmin Wang","orcid":"https://orcid.org/0000-0001-6841-7943"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Wang","raw_affiliation_strings":["School of Software, BNRist, Research Center for Big Data, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Research Center for Big Data, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":368,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"464","last_page":"480"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9631999731063843,"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/T12047","display_name":"Viral Infections and Vectors","score":0.9345999956130981,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8405179977416992},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6864533424377441},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6730292439460754},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.6628322601318359},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.612440288066864},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5729182958602905},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5346806049346924},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4953709840774536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4661513566970825},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4308586120605469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4168870449066162},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4153427481651306},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3323212265968323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3251006603240967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10529065132141113},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06799766421318054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8405179977416992},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6864533424377441},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6730292439460754},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.6628322601318359},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.612440288066864},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5729182958602905},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5346806049346924},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4953709840774536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4661513566970825},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4308586120605469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4168870449066162},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4153427481651306},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3323212265968323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3251006603240967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10529065132141113},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06799766421318054},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-58589-1_28","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58589-1_28","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1565327149","https://openalex.org/W1722318740","https://openalex.org/W1731081199","https://openalex.org/W2099471712","https://openalex.org/W2104094955","https://openalex.org/W2108598243","https://openalex.org/W2110097068","https://openalex.org/W2125389028","https://openalex.org/W2132914434","https://openalex.org/W2145494108","https://openalex.org/W2159291411","https://openalex.org/W2162651021","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2214409633","https://openalex.org/W2279034837","https://openalex.org/W2593768305","https://openalex.org/W2605488490","https://openalex.org/W2627183927","https://openalex.org/W2645998928","https://openalex.org/W2786559811","https://openalex.org/W2788768841","https://openalex.org/W2795155917","https://openalex.org/W2885722640","https://openalex.org/W2891975605","https://openalex.org/W2895281799","https://openalex.org/W2904706552","https://openalex.org/W2937019265","https://openalex.org/W2945328857","https://openalex.org/W2946444988","https://openalex.org/W2946812986","https://openalex.org/W2950023815","https://openalex.org/W2950561908","https://openalex.org/W2962687275","https://openalex.org/W2962808524","https://openalex.org/W2962823940","https://openalex.org/W2962835731","https://openalex.org/W2962986791","https://openalex.org/W2963449430","https://openalex.org/W2963506806","https://openalex.org/W2963532621","https://openalex.org/W2964109570","https://openalex.org/W2964212410","https://openalex.org/W2964278684","https://openalex.org/W2964288524","https://openalex.org/W2970987681","https://openalex.org/W2978573218","https://openalex.org/W2979920800","https://openalex.org/W2980096013","https://openalex.org/W2981630749","https://openalex.org/W2981720610","https://openalex.org/W2982204955","https://openalex.org/W2985406498","https://openalex.org/W4213009331","https://openalex.org/W4252415030","https://openalex.org/W6605031968","https://openalex.org/W6608993855","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W2570625548","https://openalex.org/W3080655457","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W3136267388","https://openalex.org/W4287263085","https://openalex.org/W3186065094","https://openalex.org/W3204418343","https://openalex.org/W3093803318","https://openalex.org/W3132602785"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":21},{"year":2025,"cited_by_count":74},{"year":2024,"cited_by_count":100},{"year":2023,"cited_by_count":88},{"year":2022,"cited_by_count":46},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
