{"id":"https://openalex.org/W2898108471","doi":"https://doi.org/10.1109/tip.2019.2963389","title":"Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach","display_name":"Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2898108471","doi":"https://doi.org/10.1109/tip.2019.2963389","mag":"2898108471","pmid":"https://pubmed.ncbi.nlm.nih.gov/31995484"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2963389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2963389","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.11547","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102858426","display_name":"Behnam Gholami","orcid":"https://orcid.org/0000-0003-0158-0636"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behnam Gholami","raw_affiliation_strings":["Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, USA","Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0003-0158-0636","affiliations":[{"raw_affiliation_string":"Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074278101","display_name":"Pritish Kumar Sahu","orcid":"https://orcid.org/0000-0002-8639-6864"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pritish Sahu","raw_affiliation_strings":["Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, USA","Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038571306","display_name":"Ognjen Rudovic","orcid":"https://orcid.org/0000-0003-1165-6075"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ognjen Rudovic","raw_affiliation_strings":["Media Lab, Affective Computing Group, Massachusetts Institute of Technology (MIT), Massachusetts, Cambridge, USA","Media Lab, Affective Computing Group, Massachusetts Institute of Technology (MIT), Massachusetts, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Media Lab, Affective Computing Group, Massachusetts Institute of Technology (MIT), Massachusetts, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Media Lab, Affective Computing Group, Massachusetts Institute of Technology (MIT), Massachusetts, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079462322","display_name":"Konstantinos Bousmalis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090411","display_name":"Google DeepMind (United Kingdom)","ror":"https://ror.org/00971b260","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090411","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Konstantinos Bousmalis","raw_affiliation_strings":["Google DeepMind, London, U.K","[Google DeepMind, London, U.K.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google DeepMind, London, U.K","institution_ids":["https://openalex.org/I4210090411","https://openalex.org/I4210113297"]},{"raw_affiliation_string":"[Google DeepMind, London, U.K.]","institution_ids":["https://openalex.org/I4210090411","https://openalex.org/I4210113297"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020368096","display_name":"Vladimir Pavlovi\u0107","orcid":"https://orcid.org/0000-0003-3979-1236"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladimir Pavlovic","raw_affiliation_strings":["Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, USA","Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Computer Science Department, Rutgers, The State University of New Jersey, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6807,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.91678479,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"3993","last_page":"4002"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9629999995231628,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8280091285705566},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7757979035377502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7329602837562561},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.7111259698867798},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6678271293640137},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5606940984725952},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5074469447135925},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47139838337898254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46083953976631165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4316791892051697},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3732215166091919},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33971595764160156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1376670002937317},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06037011742591858}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8280091285705566},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7757979035377502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7329602837562561},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7111259698867798},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6678271293640137},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5606940984725952},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5074469447135925},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47139838337898254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46083953976631165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4316791892051697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3732215166091919},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33971595764160156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1376670002937317},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06037011742591858},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tip.2019.2963389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2963389","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:31995484","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31995484","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1810.11547","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.11547","pdf_url":"https://arxiv.org/pdf/1810.11547","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2898108471","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1810.11547","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1810.11547","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1810.11547","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.11547","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.11547","pdf_url":"https://arxiv.org/pdf/1810.11547","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2898108471.pdf","grobid_xml":"https://content.openalex.org/works/W2898108471.grobid-xml"},"referenced_works_count":88,"referenced_works":["https://openalex.org/W115285041","https://openalex.org/W174360075","https://openalex.org/W183625566","https://openalex.org/W1594039573","https://openalex.org/W1731081199","https://openalex.org/W2057266281","https://openalex.org/W2096516049","https://openalex.org/W2104068492","https://openalex.org/W2112796928","https://openalex.org/W2141581971","https://openalex.org/W2146950091","https://openalex.org/W2162315509","https://openalex.org/W2181068523","https://openalex.org/W2187089797","https://openalex.org/W2209594346","https://openalex.org/W2210838531","https://openalex.org/W2304335157","https://openalex.org/W2335728318","https://openalex.org/W2341914330","https://openalex.org/W2398870399","https://openalex.org/W2467286621","https://openalex.org/W2554923929","https://openalex.org/W2557579533","https://openalex.org/W2584009249","https://openalex.org/W2592141621","https://openalex.org/W2592480533","https://openalex.org/W2593768305","https://openalex.org/W2594718649","https://openalex.org/W2611292810","https://openalex.org/W2616287544","https://openalex.org/W2616957565","https://openalex.org/W2623767209","https://openalex.org/W2627183927","https://openalex.org/W2683470288","https://openalex.org/W2753391154","https://openalex.org/W2756073160","https://openalex.org/W2763549966","https://openalex.org/W2767699072","https://openalex.org/W2780638627","https://openalex.org/W2789767547","https://openalex.org/W2798951992","https://openalex.org/W2803106019","https://openalex.org/W2804211749","https://openalex.org/W2805669069","https://openalex.org/W2808404486","https://openalex.org/W2810676804","https://openalex.org/W2811444512","https://openalex.org/W2895187988","https://openalex.org/W2912990735","https://openalex.org/W2949987290","https://openalex.org/W2951100114","https://openalex.org/W2951670162","https://openalex.org/W2953127297","https://openalex.org/W2954581613","https://openalex.org/W2962687275","https://openalex.org/W2962690307","https://openalex.org/W2962997028","https://openalex.org/W2963145887","https://openalex.org/W2963275094","https://openalex.org/W2963344645","https://openalex.org/W2963784072","https://openalex.org/W2963826681","https://openalex.org/W2964121744","https://openalex.org/W2964285681","https://openalex.org/W2964288524","https://openalex.org/W6604628494","https://openalex.org/W6607140492","https://openalex.org/W6631190155","https://openalex.org/W6637618735","https://openalex.org/W6639480849","https://openalex.org/W6681637710","https://openalex.org/W6683633756","https://openalex.org/W6683885849","https://openalex.org/W6685415078","https://openalex.org/W6703116779","https://openalex.org/W6720691552","https://openalex.org/W6725448924","https://openalex.org/W6734074887","https://openalex.org/W6734335776","https://openalex.org/W6735050833","https://openalex.org/W6737976933","https://openalex.org/W6738313283","https://openalex.org/W6739366716","https://openalex.org/W6744531576","https://openalex.org/W6756577627","https://openalex.org/W6762391239","https://openalex.org/W6763122499","https://openalex.org/W6767856044"],"related_works":["https://openalex.org/W3003384866","https://openalex.org/W3088032605","https://openalex.org/W2963826681","https://openalex.org/W1731081199","https://openalex.org/W3039655375","https://openalex.org/W3095686447","https://openalex.org/W3080746376","https://openalex.org/W3100804201","https://openalex.org/W3007227736","https://openalex.org/W2991435942","https://openalex.org/W2997645659","https://openalex.org/W3164219373","https://openalex.org/W3129504552","https://openalex.org/W2897536120","https://openalex.org/W3107946752","https://openalex.org/W2926393255","https://openalex.org/W3127492637","https://openalex.org/W2952851926","https://openalex.org/W2997704356","https://openalex.org/W3202214366"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,68,84,174],"adaptation":[2,8,40,69,150,175],"(uDA)":[3],"models":[4],"focus":[5],"on":[6,163],"pairwise":[7,39],"settings":[9,26],"where":[10],"there":[11],"is":[12,116],"a":[13,18,93,119,128,152],"single,":[14],"labeled,":[15],"source":[16,83,154],"and":[17,81,113,135],"single":[19,153],"target":[20,36,76,157],"domain.":[21],"However,":[22],"in":[23,70],"many":[24],"real-world":[25],"one":[27,82],"seeks":[28],"to":[29,31,42,51,91,98,126,155],"adapt":[30],"multiple,":[32],"but":[33],"somewhat":[34],"similar,":[35],"domains.":[37,57,158],"Applying":[38],"approaches":[41],"this":[43,59],"setting":[44],"may":[45],"be":[46],"suboptimal,":[47],"as":[48],"they":[49],"fail":[50],"leverage":[52],"shared":[53,94,112],"information":[54,64,115],"among":[55],"multiple":[56,75,156],"In":[58],"work,":[60],"we":[61],"propose":[62],"an":[63,144],"theoretic":[65],"approach":[66,162],"for":[67,104],"the":[71,105,132,136],"novel":[72],"context":[73],"of":[74,111],"domains":[77],"with":[78,85],"unlabeled":[79],"instances":[80],"labeled":[86],"instances.":[87],"Our":[88],"model":[89],"aims":[90],"find":[92],"latent":[95,133],"space":[96],"common":[97],"all":[99],"domains,":[100],"while":[101],"simultaneously":[102],"accounting":[103],"remaining":[106],"private,":[107],"domain-specific":[108],"factors.":[109],"Disentanglement":[110],"private":[114],"accomplished":[117],"using":[118],"unified":[120],"information-theoretic":[121],"approach,":[122],"which":[123],"also":[124],"serves":[125],"establish":[127],"stronger":[129],"link":[130],"between":[131],"representations":[134],"observed":[137],"data.":[138],"The":[139],"resulting":[140],"model,":[141],"accompanied":[142],"by":[143],"efficient":[145],"optimization":[146],"algorithm,":[147],"allows":[148],"simultaneous":[149],"from":[151],"We":[159],"test":[160],"our":[161],"three":[164],"challenging":[165],"publicly-available":[166],"datasets,":[167],"showing":[168],"that":[169],"it":[170],"outperforms":[171],"several":[172],"popular":[173],"methods.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
