{"id":"https://openalex.org/W2900964459","doi":"https://doi.org/10.1609/aaai.v33i01.33014822","title":"Latent Multi-Task Architecture Learning","display_name":"Latent Multi-Task Architecture Learning","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2900964459","doi":"https://doi.org/10.1609/aaai.v33i01.33014822","mag":"2900964459"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33014822","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014822","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v33i01.33014822","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037310413","display_name":"Sebastian Ruder","orcid":null},"institutions":[{"id":"https://openalex.org/I181231927","display_name":"National University of Ireland","ror":"https://ror.org/00shsf120","country_code":"IE","type":"education","lineage":["https://openalex.org/I181231927"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Sebastian Ruder","raw_affiliation_strings":["National University of Ireland","National University of Ireland,"],"affiliations":[{"raw_affiliation_string":"National University of Ireland","institution_ids":["https://openalex.org/I181231927"]},{"raw_affiliation_string":"National University of Ireland,","institution_ids":["https://openalex.org/I181231927"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028729586","display_name":"Joachim Bingel","orcid":"https://orcid.org/0000-0002-4113-3390"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Joachim Bingel","raw_affiliation_strings":["University of Copenhagen"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018976680","display_name":"Isabelle Augenstein","orcid":"https://orcid.org/0000-0003-1562-7909"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Isabelle Augenstein","raw_affiliation_strings":["University of Copenhagen"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018138946","display_name":"Anders S\u00f8gaard","orcid":"https://orcid.org/0000-0001-5250-4276"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Anders S\u00f8gaard","raw_affiliation_strings":["University of Copenhagen"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037310413"],"corresponding_institution_ids":["https://openalex.org/I181231927"],"apc_list":null,"apc_paid":null,"fwci":0.6664,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75193798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"33","issue":"01","first_page":"4822","last_page":"4829"},"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":0.9965000152587891,"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":0.9965000152587891,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9927999973297119,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9918000102043152,"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":0.7854495644569397},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6949989199638367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.66053706407547},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6230508089065552},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6086136102676392},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5795544981956482},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5322757959365845},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4756079316139221},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45763328671455383},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.45676377415657043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.071696937084198}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854495644569397},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6949989199638367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66053706407547},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6230508089065552},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6086136102676392},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5795544981956482},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5322757959365845},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4756079316139221},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45763328671455383},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.45676377415657043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.071696937084198},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1609/aaai.v33i01.33014822","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014822","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1705.08142","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1705.08142","pdf_url":"https://arxiv.org/pdf/1705.08142","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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:2900964459","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1705.08142","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"pmh:oai:pure.atira.dk:openaire_cris_publications/3fd6798c-506a-4728-8ab1-791916c3bd8f","is_oa":false,"landing_page_url":"https://curis.ku.dk/portal/da/publications/latent-multitask-architecture-learning(3fd6798c-506a-4728-8ab1-791916c3bd8f).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ruder , S , Bingel , J , Augenstein , I & S\u00f8gaard , A 2019 , Latent Multi-Task Architecture Learning . in Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019 . AAAI Press , pp. 4822-4829 , 33rd AAAI Conference on Artificial Intelligence - AAAI 2019 , Honolulu , United States , 27/01/2019 . https://doi.org/10.1609/aaai.v33i01.33014822","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:publications/3fd6798c-506a-4728-8ab1-791916c3bd8f","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/3fd6798c-506a-4728-8ab1-791916c3bd8f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ruder , S , Bingel , J , Augenstein , I & S\u00f8gaard , A 2019 , Latent Multi-Task Architecture Learning . in Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019 . AAAI Press , pp. 4822-4829 , 33rd AAAI Conference on Artificial Intelligence - AAAI 2019 , Honolulu , United States , 27/01/2019 . https://doi.org/10.1609/aaai.v33i01.33014822","raw_type":"contributionToPeriodical"},{"id":"doi:10.48550/arxiv.1705.08142","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1705.08142","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33014822","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014822","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2966182616","https://openalex.org/W3194334866","https://openalex.org/W2975043431","https://openalex.org/W3184079809","https://openalex.org/W2968475085","https://openalex.org/W1763021057","https://openalex.org/W2954817270","https://openalex.org/W2961134045","https://openalex.org/W3175781807","https://openalex.org/W3161318013","https://openalex.org/W3197560226","https://openalex.org/W2998004119","https://openalex.org/W2963306038","https://openalex.org/W3094054293","https://openalex.org/W2948983271","https://openalex.org/W3046250001","https://openalex.org/W3021757253","https://openalex.org/W2809290718","https://openalex.org/W2953077209","https://openalex.org/W2887924958"],"abstract_inverted_index":{"Multi-task":[0],"learning":[1,114],"(MTL)":[2],"allows":[3],"deep":[4],"neural":[5],"networks":[6],"to":[7,32,113,123,131],"learn":[8],"from":[9,41,96],"related":[10],"tasks":[11,102],"by":[12],"sharing":[13,30],"parameters":[14],"with":[15],"other":[16],"networks.":[17],"In":[18,71],"practice,":[19],"however,":[20],"MTL":[21],"involves":[22],"searching":[23],"an":[24,76],"enormous":[25],"space":[26],"of":[27,47,55,65],"possible":[28],"parameter":[29],"architectures":[31,116],"find":[33],"(a)":[34],"the":[35,44,51,56,66],"layers":[36],"or":[37],"subspaces":[38],"that":[39,78,84],"benefit":[40],"sharing,":[42,48],"(b)":[43],"appropriate":[45,52],"amount":[46],"and":[49,94,103,120],"(c)":[50],"relative":[53],"weights":[54],"different":[57,101,105],"task":[58],"losses.":[59],"Recent":[60],"work":[61,73],"has":[62],"addressed":[63],"each":[64],"above":[67],"problems":[68,119],"in":[69],"isolation.":[70],"this":[72],"we":[74],"present":[75,89],"approach":[77],"learns":[79],"a":[80],"latent":[81,115],"multi-task":[82,118],"architecture":[83],"jointly":[85],"addresses":[86],"(a)\u2013(c).":[87],"We":[88],"experiments":[90],"on":[91],"synthetic":[92],"data":[93,95],"OntoNotes":[97],"5.0,":[98],"including":[99],"four":[100],"seven":[104],"domains.":[106],"Our":[107],"extension":[108],"consistently":[109],"outperforms":[110],"previous":[111],"approaches":[112,130],"for":[117],"achieves":[121],"up":[122],"15%":[124],"average":[125],"error":[126],"reductions":[127],"over":[128],"common":[129],"MTL.":[132]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}