{"id":"https://openalex.org/W4210528603","doi":"https://doi.org/10.1145/3514252","title":"Asymmetric Multi-Task Learning with Local Transference","display_name":"Asymmetric Multi-Task Learning with Local Transference","publication_year":2022,"publication_date":"2022-02-04","ids":{"openalex":"https://openalex.org/W4210528603","doi":"https://doi.org/10.1145/3514252"},"language":"en","primary_location":{"id":"doi:10.1145/3514252","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514252","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","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/A5090961903","display_name":"Saullo Haniell Galv\u00e3o de Oliveira","orcid":"https://orcid.org/0000-0001-9432-8688"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Saullo H. G. Oliveira","raw_affiliation_strings":["School of Electrical and Computer Engineering (FEEC), University of Campinas (Unicamp), Campinas, S\u00e3o Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-9432-8688","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering (FEEC), University of Campinas (Unicamp), Campinas, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001741874","display_name":"Andr\u00e9 Gon\u00e7alves","orcid":"https://orcid.org/0000-0002-0320-280X"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 R. Gon\u00e7alves","raw_affiliation_strings":["Lawrence Livermore National Laboratory, California"],"raw_orcid":"https://orcid.org/0000-0002-0320-280X","affiliations":[{"raw_affiliation_string":"Lawrence Livermore National Laboratory, California","institution_ids":["https://openalex.org/I1282311441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035858702","display_name":"Fernando J. Von Zuben","orcid":"https://orcid.org/0000-0002-4128-5415"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fernando J. Von Zuben","raw_affiliation_strings":["School of Electrical and Computer Engineering (FEEC), University of Campinas (Unicamp), Campinas, S\u00e3o Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-4128-5415","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering (FEEC), University of Campinas (Unicamp), Campinas, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090961903"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":0.5549,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70708316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":"5","first_page":"1","last_page":"30"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9894999861717224,"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":0.9787999987602234,"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/computer-science","display_name":"Computer science","score":0.7871540784835815},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6548537611961365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5818437933921814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5780783891677856},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5538976788520813},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5047904253005981},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4835395812988281},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.45566147565841675},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4442395865917206},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4382106065750122},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4339753985404968},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34348064661026},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09736436605453491},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09731259942054749}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871540784835815},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6548537611961365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5818437933921814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5780783891677856},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5538976788520813},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5047904253005981},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4835395812988281},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.45566147565841675},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4442395865917206},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4382106065750122},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4339753985404968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34348064661026},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09736436605453491},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09731259942054749},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3514252","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514252","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1964590153","https://openalex.org/W1968154520","https://openalex.org/W1970554427","https://openalex.org/W2020925091","https://openalex.org/W2031250362","https://openalex.org/W2034295546","https://openalex.org/W2097451239","https://openalex.org/W2100556411","https://openalex.org/W2127300249","https://openalex.org/W2132458496","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2143104527","https://openalex.org/W2153996202","https://openalex.org/W2162162988","https://openalex.org/W2170310655","https://openalex.org/W2171405125","https://openalex.org/W2401583556","https://openalex.org/W2562162676","https://openalex.org/W2591957553","https://openalex.org/W2772024545","https://openalex.org/W2888918486","https://openalex.org/W2949676527","https://openalex.org/W2965262428","https://openalex.org/W2974718042","https://openalex.org/W2997644599","https://openalex.org/W3085046840","https://openalex.org/W3124174388","https://openalex.org/W3135939397","https://openalex.org/W3137470415","https://openalex.org/W3141797743","https://openalex.org/W4292363360","https://openalex.org/W4300068885"],"related_works":["https://openalex.org/W3095538999","https://openalex.org/W2961085424","https://openalex.org/W3200361725","https://openalex.org/W4213073923","https://openalex.org/W3193517282","https://openalex.org/W2784094750","https://openalex.org/W1812322370","https://openalex.org/W2597787948","https://openalex.org/W4226315942","https://openalex.org/W2474360700"],"abstract_inverted_index":{"In":[0,31],"this":[1],"article,":[2],"we":[3,135],"present":[4,80],"the":[5,24,45,78,87,99,154,166,195],"Group":[6],"Asymmetric":[7],"Multi-Task":[8],"Learning":[9],"(GAMTL)":[10],"algorithm":[11],"that":[12,165],"automatically":[13],"learns":[14],"from":[15],"data":[16,215],"how":[17],"tasks":[18,68,91,110],"transfer":[19],"information":[20,79],"among":[21,147,180],"themselves":[22],"at":[23],"level":[25],"of":[26,29,36,48,89,144,156,192,202],"a":[27,50,137],"subset":[28],"features.":[30,55,203],"practice,":[32],"for":[33,53],"each":[34],"group":[35],"features":[37],"GAMTL":[38,64,122,133,149,221],"extracts":[39],"an":[40,105],"asymmetric":[41,72,114],"relationship":[42],"supported":[43],"by":[44,60,141],"tasks,":[46,189],"instead":[47],"assuming":[49],"single":[51],"structure":[52],"all":[54],"The":[56,74,96],"additional":[57],"flexibility":[58],"promoted":[59],"local":[61],"transference":[62],"in":[63,81,194],"allows":[65],"any":[66],"two":[67],"to":[69,85,98,118,153,210,214],"have":[70],"multiple":[71,83,113,181,187],"relationships.":[73],"proposed":[75,167],"method":[76],"leverages":[77],"these":[82],"structures":[84],"bias":[86],"training":[88],"individual":[90],"towards":[92],"more":[93],"generalizable":[94],"models.":[95],"solution":[97],"GAMTL\u2019s":[100,212],"associated":[101,198],"optimization":[102],"problem":[103,155],"is":[104,224],"alternating":[106],"minimization":[107],"procedure":[108],"involving":[109],"parameters":[111],"and":[112,128,190,218],"relationships,":[115],"thus":[116],"guiding":[117],"convex":[119],"smaller":[120],"sub-problems.":[121],"was":[123,150],"evaluated":[124],"on":[125,226],"both":[126],"synthetic":[127,138],"real":[129],"datasets.":[130],"To":[131],"evidence":[132],"versatility,":[134],"generated":[136],"scenario":[139],"characterized":[140],"diverse":[142],"profiles":[143],"structural":[145],"relationships":[146,179],"tasks.":[148],"also":[151,175,205],"applied":[152],"Alzheimer\u2019s":[157],"Disease":[158],"(AD)":[159],"progression":[160],"prediction.":[161],"Our":[162],"experiments":[163],"indicated":[164],"approach":[168],"not":[169],"only":[170],"increased":[171],"prediction":[172],"performance,":[173],"but":[174],"estimated":[176],"scientifically":[177],"grounded":[178],"cognitive":[182],"scores,":[183],"taken":[184],"here":[185,199],"as":[186],"regression":[188],"regions":[191],"interest":[193],"brain,":[196],"directly":[197],"with":[200],"groups":[201],"We":[204],"employed":[206],"stability":[207],"selection":[208],"analysis":[209],"investigate":[211],"robustness":[213],"sampling":[216],"rate":[217],"hyper-parameter":[219],"configuration.":[220],"source":[222],"code":[223],"available":[225],"GitHub:":[227],"https://github.com/shgo/gamtl":[228],".":[229]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}