{"id":"https://openalex.org/W4392518450","doi":"https://doi.org/10.1007/s11263-024-02028-4","title":"Domain Generalization with Small Data","display_name":"Domain Generalization with Small Data","publication_year":2024,"publication_date":"2024-03-06","ids":{"openalex":"https://openalex.org/W4392518450","doi":"https://doi.org/10.1007/s11263-024-02028-4"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-024-02028-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02028-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02028-4.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02028-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020579227","display_name":"Kecheng Chen","orcid":"https://orcid.org/0000-0001-6657-3221"},"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":true,"raw_author_name":"Kecheng Chen","raw_affiliation_strings":["Department of Electrical Engineering and Center for Intelligent Multidimensional Data Analysis, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Center for Intelligent Multidimensional Data Analysis, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111128648","display_name":"Elena Gal","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Elena Gal","raw_affiliation_strings":["Department of Engineering, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644375","display_name":"Hong Yan","orcid":"https://orcid.org/0000-0001-9661-3095"},"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":"Hong Yan","raw_affiliation_strings":["Department of Electrical Engineering and Center for Intelligent Multidimensional Data Analysis, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Center for Intelligent Multidimensional Data Analysis, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040091210","display_name":"Haoliang Li","orcid":"https://orcid.org/0000-0002-8723-8112"},"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":"Haoliang Li","raw_affiliation_strings":["Department of Electrical Engineering and Center for Intelligent Multidimensional Data Analysis, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Center for Intelligent Multidimensional Data Analysis, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020579227"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":5.0636,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95712125,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"132","issue":"8","first_page":"3172","last_page":"3190"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9860000014305115,"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":0.984499990940094,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.8133846521377563},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5628526210784912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5567938089370728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5326005816459656},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5061294436454773},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5044347047805786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49892354011535645},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.44077131152153015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4192259907722473},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4177917242050171}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.8133846521377563},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5628526210784912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5567938089370728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5326005816459656},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5061294436454773},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5044347047805786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49892354011535645},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.44077131152153015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4192259907722473},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4177917242050171},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11263-024-02028-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02028-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02028-4.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/3805951a-acea-46c7-982a-fac2fe3769ab","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/3805951a-acea-46c7-982a-fac2fe3769ab","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Chen, K, Gal, E, Yan, H & Li, H 2024, 'Domain Generalization with Small Data', International Journal of Computer Vision, vol. 132, no. 8, pp. 3172-3190. https://doi.org/10.1007/s11263-024-02028-4","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s11263-024-02028-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02028-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02028-4.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G1859322275","display_name":null,"funder_award_id":"InnoHK","funder_id":"https://openalex.org/F4320321920","funder_display_name":"Innovation and Technology Commission"},{"id":"https://openalex.org/G2642563814","display_name":null,"funder_award_id":"CIMDA","funder_id":"https://openalex.org/F4320321920","funder_display_name":"Innovation and Technology Commission"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321920","display_name":"Innovation and Technology Commission","ror":"https://ror.org/04vf9tr09"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392518450.pdf"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1565176583","https://openalex.org/W1567512734","https://openalex.org/W1826234144","https://openalex.org/W1901129140","https://openalex.org/W2108677974","https://openalex.org/W2136440798","https://openalex.org/W2149298154","https://openalex.org/W2161434367","https://openalex.org/W2164943005","https://openalex.org/W2225156818","https://openalex.org/W2418306335","https://openalex.org/W2555897561","https://openalex.org/W2559655401","https://openalex.org/W2604272474","https://openalex.org/W2626720046","https://openalex.org/W2768783441","https://openalex.org/W2784067649","https://openalex.org/W2798658180","https://openalex.org/W2889965839","https://openalex.org/W2921861056","https://openalex.org/W2955214642","https://openalex.org/W2963043696","https://openalex.org/W2963118547","https://openalex.org/W2963305780","https://openalex.org/W2963351448","https://openalex.org/W2963789515","https://openalex.org/W2963804252","https://openalex.org/W2964059111","https://openalex.org/W2964288524","https://openalex.org/W2970119729","https://openalex.org/W2981540341","https://openalex.org/W2984006054","https://openalex.org/W2984037482","https://openalex.org/W2990138404","https://openalex.org/W2997287432","https://openalex.org/W3006861283","https://openalex.org/W3007592798","https://openalex.org/W3025831232","https://openalex.org/W3035376925","https://openalex.org/W3038585207","https://openalex.org/W3045385144","https://openalex.org/W3083271947","https://openalex.org/W3088222393","https://openalex.org/W3095799614","https://openalex.org/W3097580349","https://openalex.org/W3100115330","https://openalex.org/W3119097278","https://openalex.org/W3159196909","https://openalex.org/W3161905328","https://openalex.org/W3168433561","https://openalex.org/W3169044395","https://openalex.org/W3172778040","https://openalex.org/W3174812227","https://openalex.org/W3175215201","https://openalex.org/W3177450132","https://openalex.org/W3184787677","https://openalex.org/W3193743428","https://openalex.org/W3206776650","https://openalex.org/W3211341841","https://openalex.org/W4212774754","https://openalex.org/W4225855981","https://openalex.org/W4283743364","https://openalex.org/W4292198371","https://openalex.org/W4292794825","https://openalex.org/W4312765682","https://openalex.org/W4312972638","https://openalex.org/W4313007634","https://openalex.org/W4362597616","https://openalex.org/W6637618735","https://openalex.org/W6679554340","https://openalex.org/W6684488266","https://openalex.org/W6688325169","https://openalex.org/W6713955831","https://openalex.org/W6776700526","https://openalex.org/W6779928312","https://openalex.org/W6791875987","https://openalex.org/W6796913975","https://openalex.org/W6931589241"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W2002739602","https://openalex.org/W2345647014","https://openalex.org/W2201192772","https://openalex.org/W3136891595","https://openalex.org/W2535030201","https://openalex.org/W1964819397"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"work,":[3],"we":[4,30,51],"propose":[5,31],"to":[6,32,59,112],"tackle":[7],"the":[8,14,39,67,90,123,135,138,143,148,154,167,174],"problem":[9],"of":[10,16,21,76,79,88,99,169,176],"domain":[11],"generalization":[12],"in":[13,173],"context":[15,175],"insufficient":[17,177],"samples":[18],".":[19],"Instead":[20],"extracting":[22],"latent":[23,80,84,100],"feature":[24],"embeddings":[25],"based":[26,37,96],"on":[27,38,97,137,161],"deterministic":[28],"models,":[29,129],"learn":[33],"a":[34,60,77,102],"domain-invariant":[35],"representation":[36,125],"probabilistic":[40,48,62,104,109,128],"framework":[41],"by":[42,127],"mapping":[43],"each":[44],"data":[45,178],"point":[46],"into":[47],"embeddings.":[49],"Specifically,":[50],"first":[52],"extend":[53],"empirical":[54],"maximum":[55],"mean":[56],"discrepancy":[57,68],"(MMD)":[58],"novel":[61,103],"MMD":[63],"that":[64],"can":[65,133],"measure":[66],"between":[69],"mixture":[70],"distributions":[71,81,141],"(i.e.,":[72,142,153],"source":[73],"domains)":[74],"consisting":[75],"series":[78],"rather":[82],"than":[83],"points.":[85],"Moreover,":[86],"instead":[87],"imposing":[89],"contrastive":[91,150],"semantic":[92,151],"alignment":[93,152],"(CSA)":[94],"loss":[95,106],"pairs":[98,111],"points,":[101],"CSA":[105],"encourages":[107],"positive":[108],"embedding":[110],"be":[113],"closer":[114],"while":[115],"pulling":[116],"other":[117],"negative":[118],"ones":[119],"apart.":[120],"Benefiting":[121],"from":[122],"learned":[124],"captured":[126],"our":[130,170],"proposed":[131,171],"method":[132,172],"marriage":[134],"measurement":[136],"distribution":[139],"over":[140],"global":[144],"perspective":[145,156],"alignment)":[146],"and":[147],"distribution-based":[149],"local":[155],"alignment).":[157],"Extensive":[158],"experimental":[159],"results":[160],"three":[162],"challenging":[163],"medical":[164],"datasets":[165],"show":[166],"effectiveness":[168],"compared":[179],"with":[180],"state-of-the-art":[181],"methods.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
