{"id":"https://openalex.org/W2998831339","doi":"https://doi.org/10.1109/icmlc48188.2019.8949255","title":"Multi-Task Learning With Localized Generalization Error Model","display_name":"Multi-Task Learning With Localized Generalization Error Model","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2998831339","doi":"https://doi.org/10.1109/icmlc48188.2019.8949255","mag":"2998831339"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc48188.2019.8949255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101683219","display_name":"Wendi Li","orcid":"https://orcid.org/0000-0003-1993-4471"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wendi Li","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology,Guangzhou,China","Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434324","display_name":"Yi Zhu","orcid":"https://orcid.org/0000-0003-3000-3918"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology,Guangzhou,China","Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427914","display_name":"Ting Wang","orcid":"https://orcid.org/0000-0001-9357-4238"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology,Guangzhou,China","Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105759393","display_name":"Wing W. Y. Ng","orcid":"https://orcid.org/0000-0003-0783-3585"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wing W. Y. Ng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology,Guangzhou,China","Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","score":0.996999979019165,"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/generalization","display_name":"Generalization","score":0.8682636022567749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7407134175300598},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7124359607696533},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6832087635993958},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.658211350440979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6499408483505249},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5521034598350525},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5462439060211182},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5369875431060791},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5177032947540283},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.4573208689689636},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4520634412765503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38298100233078003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19282951951026917}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.8682636022567749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7407134175300598},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7124359607696533},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6832087635993958},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.658211350440979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6499408483505249},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5521034598350525},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5462439060211182},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5369875431060791},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5177032947540283},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.4573208689689636},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4520634412765503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38298100233078003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19282951951026917},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc48188.2019.8949255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W344512287","https://openalex.org/W1499332833","https://openalex.org/W1522301498","https://openalex.org/W1533517359","https://openalex.org/W1971476226","https://openalex.org/W1989597614","https://openalex.org/W1998280720","https://openalex.org/W2000292092","https://openalex.org/W2061572659","https://openalex.org/W2104409795","https://openalex.org/W2110480233","https://openalex.org/W2126288184","https://openalex.org/W2131479143","https://openalex.org/W2152721295","https://openalex.org/W2166721725","https://openalex.org/W2171604354","https://openalex.org/W2216125271","https://openalex.org/W2322020277","https://openalex.org/W2336750633","https://openalex.org/W2407776548","https://openalex.org/W2510317721","https://openalex.org/W2516255829","https://openalex.org/W2592051407","https://openalex.org/W2624871570","https://openalex.org/W2750384547","https://openalex.org/W2763567083","https://openalex.org/W2767185117","https://openalex.org/W2890538051","https://openalex.org/W2900389659","https://openalex.org/W2913340405","https://openalex.org/W2949664970","https://openalex.org/W2950673314","https://openalex.org/W2962897020","https://openalex.org/W2963677766","https://openalex.org/W2964121744","https://openalex.org/W3099732023","https://openalex.org/W3118608800","https://openalex.org/W6611685182","https://openalex.org/W6631190155","https://openalex.org/W6632134033","https://openalex.org/W6640290990","https://openalex.org/W6678737727","https://openalex.org/W6679468046","https://openalex.org/W6684360038","https://openalex.org/W6738279954","https://openalex.org/W6754005058"],"related_works":["https://openalex.org/W2381411913","https://openalex.org/W2087331387","https://openalex.org/W4321151660","https://openalex.org/W4367000426","https://openalex.org/W2006060538","https://openalex.org/W4386047771","https://openalex.org/W2107708607","https://openalex.org/W3127908425","https://openalex.org/W4287332487","https://openalex.org/W3128926488"],"abstract_inverted_index":{"In":[0],"cases,":[1],"the":[2,25,44,80,98,111,120,124,129,151,167,171,177],"same":[3,45],"or":[4],"similar":[5,142],"network":[6],"architecture":[7],"is":[8,60,77],"used":[9],"to":[10,49,62,139,143,149,157],"deal":[11],"with":[12,137],"related":[13,39,71],"but":[14],"different":[15,21,154,158],"tasks,":[16],"where":[17],"tasks":[18,40,72,155],"come":[19],"from":[20,90],"statistical":[22,67,159],"distributions":[23,68,160],"in":[24,161],"sample":[26],"input":[27],"space":[28],"and":[29],"share":[30],"some":[31,51],"common":[32],"features.":[33],"Multi-Task":[34],"Learning":[35],"(MTL)":[36],"combines":[37],"multiple":[38,56,91],"for":[41],"training":[42,144,172],"at":[43],"time,":[46],"so":[47],"as":[48],"learn":[50],"shared":[52],"feature":[53,88],"representation":[54,89],"among":[55],"tasks.":[57,92],"However,":[58],"it":[59,94,136],"difficult":[61],"improve":[63],"each":[64],"task":[65],"when":[66],"of":[69,82,87,101,123,132,135],"these":[70],"are":[73],"greatly":[74],"different.":[75],"This":[76],"caused":[78],"by":[79,127],"difficulty":[81],"extracting":[83],"an":[84],"effective":[85],"generalization":[86,121,133],"Moreover,":[93],"also":[95,147],"slows":[96],"down":[97],"convergence":[99,179],"rate":[100],"MTL.":[102,162],"Therefore,":[103],"we":[104],"propose":[105],"a":[106],"MTL":[107],"method":[108],"based":[109],"on":[110],"Localized":[112],"Generalization":[113],"Error":[114],"Model":[115],"(L-GEM).":[116],"The":[117],"L-GEM":[118,168],"improves":[119,176],"capability":[122],"trained":[125],"model":[126],"minimizing":[128],"upper":[130],"bound":[131],"error":[134],"respect":[138],"unseen":[140],"samples":[141],"samples.":[145],"It":[146],"helps":[148],"narrow":[150],"gap":[152],"between":[153],"due":[156],"Experimental":[163],"results":[164],"show":[165],"that":[166],"speeds":[169],"up":[170],"process":[173],"while":[174],"significantly":[175],"final":[178],"results.":[180]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
