{"id":"https://openalex.org/W2571099869","doi":"https://doi.org/10.1109/tnnls.2016.2641160","title":"Probabilistic Low-Rank Multitask Learning","display_name":"Probabilistic Low-Rank Multitask Learning","publication_year":2017,"publication_date":"2017-01-04","ids":{"openalex":"https://openalex.org/W2571099869","doi":"https://doi.org/10.1109/tnnls.2016.2641160","mag":"2571099869","pmid":"https://pubmed.ncbi.nlm.nih.gov/28060715"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2016.2641160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2641160","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5056492058","display_name":"Yu Kong","orcid":"https://orcid.org/0000-0001-6271-4082"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Kong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6271-4082","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028762600","display_name":"Ming Shao","orcid":"https://orcid.org/0000-0002-7686-8784"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Shao","raw_affiliation_strings":["Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7686-8784","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, USA","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728040","display_name":"Kang Li","orcid":"https://orcid.org/0000-0002-0149-6912"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kang Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005819096","display_name":"Yun Fu","orcid":"https://orcid.org/0000-0002-5098-2853"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Fu","raw_affiliation_strings":["College of the Computer and Information Science, Northeastern University, Boston, MA, USA","Department of Electrical and Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of the Computer and Information Science, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.7377,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9185961,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":"3","first_page":"670","last_page":"680"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12676","display_name":"Machine Learning and ELM","score":0.996399998664856,"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":0.7415966987609863},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7376628518104553},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7201101779937744},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6925899982452393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6856432557106018},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.6842246651649475},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6591956615447998},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6427910327911377},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6090031266212463},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5980533957481384},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.47225895524024963},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4522635340690613},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4491533637046814},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.44736504554748535},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4442741870880127},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.2560235261917114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.137670636177063}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415966987609863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7376628518104553},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7201101779937744},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6925899982452393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6856432557106018},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.6842246651649475},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6591956615447998},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6427910327911377},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6090031266212463},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5980533957481384},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.47225895524024963},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4522635340690613},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4491533637046814},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.44736504554748535},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4442741870880127},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.2560235261917114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.137670636177063},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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":2,"locations":[{"id":"doi:10.1109/tnnls.2016.2641160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2641160","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:28060715","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28060715","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 neural networks and learning systems","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G1356488496","display_name":null,"funder_award_id":"N00014-12-1-1028","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2168928667","display_name":null,"funder_award_id":"W911NF-14-1-0218","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G6838734070","display_name":"EAGER: Vision-Based Activity Forecasting by Mining Temporal Causalities","funder_award_id":"1651902","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8569619938","display_name":null,"funder_award_id":"N00014-14-1-0484","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W1520871589","https://openalex.org/W1576347883","https://openalex.org/W1800306869","https://openalex.org/W1920962657","https://openalex.org/W1942758450","https://openalex.org/W2010132303","https://openalex.org/W2018096278","https://openalex.org/W2034295546","https://openalex.org/W2045022844","https://openalex.org/W2045704273","https://openalex.org/W2063386797","https://openalex.org/W2065180801","https://openalex.org/W2075830955","https://openalex.org/W2081297271","https://openalex.org/W2085291930","https://openalex.org/W2097463421","https://openalex.org/W2099537822","https://openalex.org/W2107077531","https://openalex.org/W2112225422","https://openalex.org/W2115979064","https://openalex.org/W2118712128","https://openalex.org/W2125027820","https://openalex.org/W2125874614","https://openalex.org/W2126574516","https://openalex.org/W2135046866","https://openalex.org/W2135316123","https://openalex.org/W2137123230","https://openalex.org/W2139191027","https://openalex.org/W2141159272","https://openalex.org/W2143104527","https://openalex.org/W2144752499","https://openalex.org/W2145094598","https://openalex.org/W2145962650","https://openalex.org/W2147526465","https://openalex.org/W2148522164","https://openalex.org/W2151673022","https://openalex.org/W2153579905","https://openalex.org/W2153677638","https://openalex.org/W2154029067","https://openalex.org/W2156267734","https://openalex.org/W2159680539","https://openalex.org/W2163386439","https://openalex.org/W2165698076","https://openalex.org/W2186054958","https://openalex.org/W2266004465","https://openalex.org/W2273827415","https://openalex.org/W2281948289","https://openalex.org/W2338953098","https://openalex.org/W2342792901","https://openalex.org/W2344457357","https://openalex.org/W2551868040","https://openalex.org/W2563833337","https://openalex.org/W2616032753","https://openalex.org/W2913340405","https://openalex.org/W2949201716","https://openalex.org/W2952066970","https://openalex.org/W2963424430","https://openalex.org/W2964036110","https://openalex.org/W2997574889","https://openalex.org/W3103211861","https://openalex.org/W4320800818","https://openalex.org/W6674527804","https://openalex.org/W6674672537","https://openalex.org/W6675994131","https://openalex.org/W6677308353","https://openalex.org/W6677758222","https://openalex.org/W6679786247","https://openalex.org/W6680457778","https://openalex.org/W6680702173","https://openalex.org/W6681096077","https://openalex.org/W6681414149","https://openalex.org/W6682897304","https://openalex.org/W6686819018","https://openalex.org/W6693064237","https://openalex.org/W6695692787"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W2772359885","https://openalex.org/W2899331914","https://openalex.org/W3011471740","https://openalex.org/W2572315477","https://openalex.org/W2980357123"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,51],"consider":[4],"the":[5,14,18,31,41,77,85,91,94,123,126,132],"problem":[6],"of":[7,16,21,76,87,125],"learning":[8,59],"multiple":[9,35],"related":[10],"tasks":[11,36,89,118],"simultaneously":[12],"with":[13,131],"goal":[15],"improving":[17],"generalization":[19],"performance":[20],"individual":[22,46],"tasks.":[23],"The":[24,70],"key":[25],"challenge":[26],"is":[27],"to":[28,82,99],"effectively":[29],"exploit":[30],"shared":[32],"information":[33,43],"across":[34],"as":[37,39],"well":[38],"preserve":[40],"discriminative":[42],"for":[44,57],"each":[45,100],"task.":[47,101],"To":[48],"address":[49],"this,":[50],"propose":[52],"a":[53,73],"novel":[54],"probabilistic":[55],"model":[56],"multitask":[58],"(MTL)":[60],"that":[61],"can":[62],"automatically":[63],"balance":[64],"between":[65],"low-rank":[66,74],"and":[67,90,104,116],"sparsity":[68],"constraints.":[69],"former":[71],"assumes":[72],"structure":[75],"underlying":[78],"predictive":[79],"hypothesis":[80],"space":[81],"explicitly":[83],"capture":[84],"relationship":[86],"different":[88],"latter":[92],"learns":[93],"incoherent":[95],"sparse":[96],"patterns":[97],"private":[98],"We":[102],"derive":[103],"perform":[105],"inference":[106],"via":[107],"variational":[108],"Bayesian":[109],"methods.":[110],"Experimental":[111],"results":[112],"on":[113,119],"both":[114],"regression":[115],"classification":[117],"real-world":[120],"applications":[121],"demonstrate":[122],"effectiveness":[124],"proposed":[127],"method":[128],"in":[129],"dealing":[130],"MTL":[133],"problems.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}