{"id":"https://openalex.org/W4377007640","doi":"https://doi.org/10.1109/access.2023.3276775","title":"Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization","display_name":"Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4377007640","doi":"https://doi.org/10.1109/access.2023.3276775"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3276775","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3276775","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10126078.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10126078.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086844652","display_name":"Boyang Lyu","orcid":"https://orcid.org/0000-0003-3295-0652"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Boyang Lyu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3295-0652","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104036023","display_name":"Thuan Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thuan Nguyen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","Department of Computer Science, Tufts University, Medford, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Department of Computer Science, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036913803","display_name":"Prakash Ishwar","orcid":"https://orcid.org/0000-0002-2621-1549"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prakash Ishwar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-2621-1549","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044523801","display_name":"Matthias Scheutz","orcid":"https://orcid.org/0000-0002-0064-2789"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthias Scheutz","raw_affiliation_strings":["Department of Computer Science, Tufts University, Medford, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0064-2789","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004738943","display_name":"Shuchin Aeron","orcid":null},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuchin Aeron","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-1049-9795","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086844652"],"corresponding_institution_ids":["https://openalex.org/I121934306"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5055,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69964502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"49226","last_page":"49240"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9952999949455261,"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/T10635","display_name":"Hydraulic Fracturing and Reservoir Analysis","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.7511851787567139},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6495577692985535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.615799069404602},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.608387291431427},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5299671292304993},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4714682400226593},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4689086675643921},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46535831689834595},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4650721549987793},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4431861937046051},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4315229058265686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35813358426094055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32974618673324585}],"concepts":[{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.7511851787567139},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6495577692985535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.615799069404602},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.608387291431427},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5299671292304993},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4714682400226593},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4689086675643921},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46535831689834595},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4650721549987793},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4431861937046051},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4315229058265686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35813358426094055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32974618673324585},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3276775","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3276775","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10126078.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6b66016362f8439e863111ca450a6cde","is_oa":true,"landing_page_url":"https://doaj.org/article/6b66016362f8439e863111ca450a6cde","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 49226-49240 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3276775","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3276775","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10126078.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1472777802","display_name":null,"funder_award_id":"CCF:1553075","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1523888516","display_name":null,"funder_award_id":"FA9550-","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G2551248665","display_name":"CAREER: Advancing Multidimensional Data Science via New Algebraic Models and Scalable Algorithms","funder_award_id":"1553075","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3478761950","display_name":null,"funder_award_id":"1931978","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4893699620","display_name":null,"funder_award_id":"1937057","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5049603373","display_name":null,"funder_award_id":"FA9550-18-1-0465","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5809100787","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320317283","display_name":"Engineering Research Centers","ror":null},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377007640.pdf","grobid_xml":"https://content.openalex.org/works/W4377007640.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1629559917","https://openalex.org/W1731081199","https://openalex.org/W1968333723","https://openalex.org/W2097854052","https://openalex.org/W2104094955","https://openalex.org/W2120587290","https://openalex.org/W2126151240","https://openalex.org/W2131953535","https://openalex.org/W2149298154","https://openalex.org/W2158131535","https://openalex.org/W2167366427","https://openalex.org/W2531958295","https://openalex.org/W2627183927","https://openalex.org/W2763549966","https://openalex.org/W2768783441","https://openalex.org/W2770645414","https://openalex.org/W2798658180","https://openalex.org/W2883386984","https://openalex.org/W2894728917","https://openalex.org/W2912280829","https://openalex.org/W2920306970","https://openalex.org/W2949573729","https://openalex.org/W2964288524","https://openalex.org/W2970119729","https://openalex.org/W2980306787","https://openalex.org/W3007592798","https://openalex.org/W3035349046","https://openalex.org/W3041472977","https://openalex.org/W3103937687","https://openalex.org/W3109042658","https://openalex.org/W3120824653","https://openalex.org/W3133289359","https://openalex.org/W3133542152","https://openalex.org/W3162767959","https://openalex.org/W3175215201","https://openalex.org/W3212348395","https://openalex.org/W4206471589","https://openalex.org/W4221146488","https://openalex.org/W4221167557","https://openalex.org/W4255839052","https://openalex.org/W4287245321","https://openalex.org/W4287728573","https://openalex.org/W4288287305","https://openalex.org/W4288418632","https://openalex.org/W4289639938","https://openalex.org/W4302366875","https://openalex.org/W4360764195","https://openalex.org/W6631190155","https://openalex.org/W6636708570","https://openalex.org/W6637618735","https://openalex.org/W6678977525","https://openalex.org/W6682962330","https://openalex.org/W6745840574","https://openalex.org/W6756138707","https://openalex.org/W6758833332","https://openalex.org/W6759625057","https://openalex.org/W6760298573","https://openalex.org/W6765285020","https://openalex.org/W6767680423","https://openalex.org/W6774630179","https://openalex.org/W6779405660","https://openalex.org/W6780233385","https://openalex.org/W6780404471","https://openalex.org/W6785863445","https://openalex.org/W6791875987","https://openalex.org/W6795007937","https://openalex.org/W6796913975","https://openalex.org/W6809508694","https://openalex.org/W6810062868"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W1976264255","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2208932071"],"abstract_inverted_index":{"This":[0],"paper":[1],"advances":[2],"the":[3,16,21,37,47,50,60,64,92,96,102,137,167,178,184,190,213,216,220,227],"theory":[4,110],"and":[5,49,95,111,144,176,219],"practice":[6],"of":[7,25,39,122,186],"Domain":[8],"Generalization":[9],"(DG)":[10],"in":[11,63,101,129,188],"machine":[12],"learning.":[13],"We":[14],"consider":[15],"typical":[17],"DG":[18,41,203,233],"setting":[19],"where":[20],"hypothesis":[22],"is":[23,120],"composed":[24],"a":[26,31,55,78,115,130,201],"representation":[27,48,93,187],"mapping":[28,94],"followed":[29],"by":[30,53],"labeling":[32,51,99],"function.":[33],"Within":[34],"this":[35,73,107,195],"setting,":[36],"majority":[38],"popular":[40],"methods":[42,70],"aim":[43],"to":[44,86,157],"jointly":[45],"learn":[46],"functions":[52],"minimizing":[54],"well-known":[56],"upper":[57,75,117,134,197],"bound":[58,76,118,135,161],"for":[59,136],"classification":[61,214],"risk":[62,133],"unseen":[65,103,138],"domain.":[66,104,139],"In":[67],"practice,":[68,112],"however,":[69],"based":[71],"on":[72,90,194,235],"theoretical":[74],"ignore":[77],"term":[79,170,181],"that":[80,119,148,171,182,210,226],"cannot":[81],"be":[82],"directly":[83],"optimized":[84],"due":[85],"its":[87],"dual":[88,126],"dependence":[89],"both":[91],"unknown":[97],"optimal":[98,150],"function":[100],"To":[105],"bridge":[106],"gap":[108],"between":[109,174],"we":[113,199],"introduce":[114],"new":[116,164,196],"free":[121],"terms":[123],"having":[124],"such":[125],"dependence,":[127],"resulting":[128],"fully":[131],"optimizable":[132],"Our":[140],"derivation":[141],"leverages":[142],"classical":[143],"recent":[145],"transport":[146,151],"inequalities":[147],"link":[149],"metrics":[152],"with":[153],"information-theoretic":[154],"measures.":[155],"Compared":[156],"previous":[158],"bounds,":[159],"our":[160],"introduces":[162],"two":[163],"terms:":[165],"(i)":[166],"Wasserstein-2":[168],"barycenter":[169,217],"aligns":[172],"distributions":[173],"domains,":[175],"(ii)":[177],"reconstruction":[179,221],"loss":[180],"assesses":[183],"quality":[185],"reconstructing":[189],"original":[191],"data.":[192],"Based":[193],"bound,":[198],"propose":[200],"novel":[202],"algorithm":[204],"named":[205],"Wasserstein":[206],"Barycenter":[207],"Auto-Encoder":[208],"(WBAE)":[209],"simultaneously":[211],"minimizes":[212],"loss,":[215,218],"loss.":[222],"Numerical":[223],"results":[224],"demonstrate":[225],"proposed":[228],"method":[229],"outperforms":[230],"current":[231],"state-of-the-art":[232],"algorithms":[234],"several":[236],"datasets.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2023-05-19T00:00:00"}