{"id":"https://openalex.org/W4321380840","doi":"https://doi.org/10.1109/tpami.2023.3241945","title":"Variational Nested Dropout","display_name":"Variational Nested Dropout","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4321380840","doi":"https://doi.org/10.1109/tpami.2023.3241945","pmid":"https://pubmed.ncbi.nlm.nih.gov/37027650"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3241945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3241945","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/98284/6/Variational%20Nested%20Dropout.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027306735","display_name":"Yufei Cui","orcid":"https://orcid.org/0000-0002-9663-0079"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Yufei Cui","raw_affiliation_strings":["School of Computer Science, McGill University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, McGill University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059860033","display_name":"Yu Mao","orcid":"https://orcid.org/0000-0001-9803-4927"},"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":"Yu Mao","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103214328","display_name":"Ziquan Liu","orcid":"https://orcid.org/0000-0002-7526-1032"},"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":"Ziquan Liu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393695","display_name":"Qiao Li","orcid":"https://orcid.org/0000-0002-4579-4268"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Li","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, Fujian, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065680386","display_name":"Antoni B. Chan","orcid":"https://orcid.org/0000-0002-2886-2513"},"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":"Antoni B. Chan","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372152","display_name":"Xue Liu","orcid":"https://orcid.org/0000-0001-5252-3442"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xue Liu","raw_affiliation_strings":["School of Computer Science, McGill University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, McGill University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056407308","display_name":"Tei\u2010Wei Kuo","orcid":"https://orcid.org/0000-0003-1974-0394"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]},{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["AE","TW"],"is_corresponding":false,"raw_author_name":"Tei-Wei Kuo","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University, Taipei City, Taiwan","Mohamed Bin Zayed University of Artificial Intelligence, Masdar City, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taipei City, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Mohamed Bin Zayed University of Artificial Intelligence, Masdar City, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101441768","display_name":"Chun Jason Xue","orcid":"https://orcid.org/0000-0002-6431-9868"},"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":"Chun Jason Xue","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5027306735"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":1.6744,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89103791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"45","issue":"8","first_page":"10519","last_page":"10534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11407","display_name":"Innovative Microfluidic and Catalytic Techniques Innovation","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9746000170707703,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5833649039268494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.570000171661377},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5037330985069275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3913553059101105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3718939423561096},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30925631523132324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5833649039268494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.570000171661377},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5037330985069275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3913553059101105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3718939423561096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30925631523132324}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tpami.2023.3241945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3241945","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37027650","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37027650","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 pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/98284","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/98284","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/98284/6/Variational%20Nested%20Dropout.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:pure.atira.dk:publications/1d5d9551-73de-46ad-a98c-b961e0e012e4","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/1d5d9551-73de-46ad-a98c-b961e0e012e4","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cui, Y, Mao, Y, Liu, Z, Li, Q, Chan, A B, Liu, X, Kuo, T-W & Xue, C J 2023, 'Variational Nested Dropout', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 8, pp. 10519-10534. https://doi.org/10.1109/TPAMI.2023.3241945","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/98284","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/98284","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/98284/6/Variational%20Nested%20Dropout.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2692999226","display_name":null,"funder_award_id":"62202396","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/W4321380840.pdf","grobid_xml":"https://content.openalex.org/works/W4321380840.grobid-xml"},"referenced_works_count":85,"referenced_works":["https://openalex.org/W10548402","https://openalex.org/W1503398984","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1834627138","https://openalex.org/W1901129140","https://openalex.org/W1953118629","https://openalex.org/W1959608418","https://openalex.org/W2010625607","https://openalex.org/W2083252561","https://openalex.org/W2083927153","https://openalex.org/W2095705004","https://openalex.org/W2099866409","https://openalex.org/W2103328396","https://openalex.org/W2119144962","https://openalex.org/W2531327146","https://openalex.org/W2547875792","https://openalex.org/W2548228487","https://openalex.org/W2549139847","https://openalex.org/W2592505114","https://openalex.org/W2619903301","https://openalex.org/W2626967530","https://openalex.org/W2795671189","https://openalex.org/W2796394093","https://openalex.org/W2905741102","https://openalex.org/W2947023772","https://openalex.org/W2952088488","https://openalex.org/W2955425717","https://openalex.org/W2962818002","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2964112095","https://openalex.org/W2981698279","https://openalex.org/W2994749257","https://openalex.org/W2996019573","https://openalex.org/W2997574889","https://openalex.org/W3034526991","https://openalex.org/W3048265338","https://openalex.org/W3118608800","https://openalex.org/W3177310830","https://openalex.org/W4246413330","https://openalex.org/W4287757320","https://openalex.org/W4297708031","https://openalex.org/W4297797495","https://openalex.org/W4298343152","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638005537","https://openalex.org/W6638836233","https://openalex.org/W6640962723","https://openalex.org/W6640963894","https://openalex.org/W6674330103","https://openalex.org/W6677580257","https://openalex.org/W6681096077","https://openalex.org/W6683307983","https://openalex.org/W6684488266","https://openalex.org/W6687530928","https://openalex.org/W6697501834","https://openalex.org/W6718379498","https://openalex.org/W6728622933","https://openalex.org/W6729448088","https://openalex.org/W6730042731","https://openalex.org/W6730091202","https://openalex.org/W6732814185","https://openalex.org/W6733901433","https://openalex.org/W6738676538","https://openalex.org/W6739000085","https://openalex.org/W6739651123","https://openalex.org/W6743806954","https://openalex.org/W6744627333","https://openalex.org/W6745499552","https://openalex.org/W6745535286","https://openalex.org/W6748243251","https://openalex.org/W6750442754","https://openalex.org/W6751254666","https://openalex.org/W6752558437","https://openalex.org/W6757036269","https://openalex.org/W6757598368","https://openalex.org/W6762718338","https://openalex.org/W6765779288","https://openalex.org/W6767036268","https://openalex.org/W6767064347","https://openalex.org/W6779331336","https://openalex.org/W6786494455","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Nested":[0],"dropout":[1,6,63,96,122,195],"is":[2,9,124,164],"a":[3,70,83,103,127,146,152,167,192,206,224],"variant":[4],"of":[5,72,82,102,114,162,173,186,201,215,234,266],"operation":[7,197],"that":[8,75,198,229,256],"able":[10],"to":[11,98,212],"order":[12,113,232],"network":[13,67,138,228,263],"parameters":[14,139,214],"or":[15],"features":[16,163],"based":[17,57],"on":[18,58,182,219,282],"the":[19,41,66,80,94,99,109,115,121,130,142,160,171,178,183,187,213,231,235,241,257,261,278],"pre-defined":[20],"importance":[21,161],"during":[22,53,129],"training.":[23],"It":[24,275],"has":[25],"been":[26],"explored":[27],"for:":[28],"I.":[29],"Constructing":[30],"nested":[31,42,62,95,135,188,194,216,226,262],"nets":[32,43],"Cui":[33,37],"et":[34,38,91],"al.":[35,39,92],"2020,":[36],"2021:":[40],"are":[44,140],"neural":[45,227],"networks":[46],"whose":[47],"architectures":[48],"can":[49],"be":[50],"adjusted":[51],"instantly":[52],"testing":[54],"time,":[55],"e.g.,":[56],"computational":[59],"constraints.":[60],"The":[61],"implicitly":[64],"ranks":[65,108],"parameters,":[68],"generating":[69],"set":[71],"sub-networks":[73],"such":[74],"any":[76],"smaller":[77],"sub-network":[78],"forms":[79],"basis":[81],"larger":[84],"one.":[85],"II.":[86],"Learning":[87],"ordered":[88,203,249],"representation":[89,101,117,174],"Rippel":[90],"2014:":[93],"applied":[97],"latent":[100,250],"generative":[104,158,245,280],"model":[105],"(e.g.,":[106],"auto-encoder)":[107],"features,":[110],"enforcing":[111],"explicit":[112],"dense":[116],"over":[118],"dimensions.":[119],"However,":[120],"rate":[123],"fixed":[125],"as":[126,166],"hyper-parameter":[128],"whole":[131],"training":[132],"process.":[133],"For":[134,157],"nets,":[136],"when":[137],"removed,":[141],"performance":[143],"decays":[144],"in":[145,151,264,272],"human-specified":[147],"trajectory":[148,153],"rather":[149],"than":[150],"learned":[154],"from":[155],"data.":[156],"models,":[159],"specified":[165],"constant":[168],"vector,":[169],"restraining":[170],"flexibility":[172],"learning.":[175],"To":[176],"address":[177],"problem,":[179],"we":[180,222,254],"focus":[181],"probabilistic":[184],"counterpart":[185],"dropout.":[189,217],"We":[190,238],"propose":[191],"variational":[193],"(VND)":[196],"draws":[199],"samples":[200],"multi-dimensional":[202],"masks":[204],"at":[205],"low":[207],"cost,":[208],"providing":[209],"useful":[210],"gradients":[211],"Based":[218],"this":[220],"approach,":[221],"design":[223],"Bayesian":[225],"learns":[230],"knowledge":[233],"parameter":[236],"distributions.":[237,251],"further":[239],"exploit":[240],"VND":[242],"under":[243],"different":[244],"models":[246,281],"for":[247],"learning":[248],"In":[252],"experiments,":[253],"show":[255],"proposed":[258],"approach":[259],"outperforms":[260,277],"terms":[265],"accuracy,":[267],"calibration,":[268],"and":[269],"out-of-domain":[270],"detection":[271],"classification":[273],"tasks.":[274,285],"also":[276],"related":[279],"data":[283],"generation":[284]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
