{"id":"https://openalex.org/W4382203207","doi":"https://doi.org/10.1007/s10994-023-06343-8","title":"NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation","display_name":"NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation","publication_year":2023,"publication_date":"2023-06-27","ids":{"openalex":"https://openalex.org/W4382203207","doi":"https://doi.org/10.1007/s10994-023-06343-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-023-06343-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-023-06343-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06343-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06343-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082588511","display_name":"Jingzheng Li","orcid":"https://orcid.org/0000-0002-4232-8798"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzheng Li","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing, XueYuan Road No. 37, Beijing, 100191, China","SKLSDE Lab, School of Computer Science and Engineering, Beihang University, XueYuan Road No. 37, Beijing, 100191, China"],"raw_orcid":"https://orcid.org/0000-0002-4232-8798","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing, XueYuan Road No. 37, Beijing, 100191, China","institution_ids":["https://openalex.org/I4210165198"]},{"raw_affiliation_string":"SKLSDE Lab, School of Computer Science and Engineering, Beihang University, XueYuan Road No. 37, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087952294","display_name":"Hailong Sun","orcid":"https://orcid.org/0000-0001-7654-5574"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hailong Sun","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing, XueYuan Road No. 37, Beijing, 100191, China","SKLSDE Lab, School of Software, Beihang University, XueYuan Road No. 37, Beijing, 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing, XueYuan Road No. 37, Beijing, 100191, China","institution_ids":["https://openalex.org/I4210165198"]},{"raw_affiliation_string":"SKLSDE Lab, School of Software, Beihang University, XueYuan Road No. 37, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087952294"],"corresponding_institution_ids":["https://openalex.org/I4210165198","https://openalex.org/I82880672"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.4759,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67898663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"112","issue":"9","first_page":"3473","last_page":"3496"},"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9088000059127808,"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":0.7210054397583008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6716087460517883},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5927739143371582},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5221403241157532},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4852857291698456},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46581554412841797},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4431678354740143},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4286094009876251},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39234864711761475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21781271696090698},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14641302824020386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210054397583008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6716087460517883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5927739143371582},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5221403241157532},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4852857291698456},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46581554412841797},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4431678354740143},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4286094009876251},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39234864711761475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21781271696090698},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14641302824020386},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-023-06343-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-023-06343-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06343-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-023-06343-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-023-06343-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06343-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G266795963","display_name":null,"funder_award_id":"61932007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2727827705","display_name":null,"funder_award_id":"62141209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5962207804","display_name":"\u652f\u6301\u590d\u6742\u4efb\u52a1\u5904\u7406\u7684\u7fa4\u667a\u7cfb\u7edf\u8d28\u91cf\u6a21\u578b\u4e0e\u4fdd\u969c\u6280\u672f\u7814\u7a76","funder_award_id":"61972013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382203207.pdf","grobid_xml":"https://content.openalex.org/works/W4382203207.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W1731081199","https://openalex.org/W1882958252","https://openalex.org/W2096733369","https://openalex.org/W2104094955","https://openalex.org/W2131953535","https://openalex.org/W2138621090","https://openalex.org/W2194775991","https://openalex.org/W2214409633","https://openalex.org/W2302255633","https://openalex.org/W2478454054","https://openalex.org/W2555897561","https://openalex.org/W2593768305","https://openalex.org/W2608862709","https://openalex.org/W2627183927","https://openalex.org/W2770645414","https://openalex.org/W2788768841","https://openalex.org/W2798991696","https://openalex.org/W2803297029","https://openalex.org/W2885201931","https://openalex.org/W2944025081","https://openalex.org/W2944828972","https://openalex.org/W2962687275","https://openalex.org/W2963240485","https://openalex.org/W2963532621","https://openalex.org/W2964117661","https://openalex.org/W2980073683","https://openalex.org/W2982204955","https://openalex.org/W2982259084","https://openalex.org/W2991405316","https://openalex.org/W2996787432","https://openalex.org/W2997310315","https://openalex.org/W2998083796","https://openalex.org/W3001197829","https://openalex.org/W3022061250","https://openalex.org/W3035060554","https://openalex.org/W3035519852","https://openalex.org/W3035524453","https://openalex.org/W3037492894","https://openalex.org/W3038035775","https://openalex.org/W3108655343","https://openalex.org/W3109093849","https://openalex.org/W3159481202","https://openalex.org/W3166529525","https://openalex.org/W3169361860","https://openalex.org/W3171007011","https://openalex.org/W3174632922","https://openalex.org/W3181434681","https://openalex.org/W3201612248","https://openalex.org/W3204785235","https://openalex.org/W4226144843","https://openalex.org/W4249444217","https://openalex.org/W4285345657","https://openalex.org/W4287124998","https://openalex.org/W4298124876","https://openalex.org/W4312752917","https://openalex.org/W4312792979","https://openalex.org/W4313135270","https://openalex.org/W6713955831","https://openalex.org/W6725448924","https://openalex.org/W6745986955","https://openalex.org/W6750109254","https://openalex.org/W6772136174","https://openalex.org/W6776700526","https://openalex.org/W6785714404","https://openalex.org/W6803272178"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W1872833176"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-10T00:00:00"}
