{"id":"https://openalex.org/W3042567267","doi":"https://doi.org/10.1109/access.2020.3009988","title":"FSPMTL: Flexible Self-Paced Multi-Task Learning","display_name":"FSPMTL: Flexible Self-Paced Multi-Task Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3042567267","doi":"https://doi.org/10.1109/access.2020.3009988","mag":"3042567267"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3009988","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009988","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143091.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143091.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037429543","display_name":"Lijian Sun","orcid":"https://orcid.org/0000-0002-4018-6693"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijian Sun","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-4018-6693","affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022422213","display_name":"Yun Zhou","orcid":"https://orcid.org/0000-0001-7328-0275"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhou","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-7328-0275","affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5215,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7264276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"132012","last_page":"132020"},"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":0.9984999895095825,"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":0.9878000020980835,"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":0.8281108140945435},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.7032500505447388},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.684599757194519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6683540940284729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6347737312316895},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5750418305397034},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4205250144004822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8281108140945435},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.7032500505447388},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.684599757194519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6683540940284729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6347737312316895},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5750418305397034},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4205250144004822},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":2,"locations":[{"id":"doi:10.1109/access.2020.3009988","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009988","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143091.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1e340b61bdd443348aebe5e7b6dfc444","is_oa":true,"landing_page_url":"https://doaj.org/article/1e340b61bdd443348aebe5e7b6dfc444","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 132012-132020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3009988","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009988","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143091.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4715651222","display_name":null,"funder_award_id":"2018JJ3614","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G5749484998","display_name":null,"funder_award_id":"61703416","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"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3042567267.pdf","grobid_xml":"https://content.openalex.org/works/W3042567267.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W46454230","https://openalex.org/W77289000","https://openalex.org/W1497745584","https://openalex.org/W1942758450","https://openalex.org/W2065180801","https://openalex.org/W2130903752","https://openalex.org/W2132984949","https://openalex.org/W2134982367","https://openalex.org/W2135624048","https://openalex.org/W2143104527","https://openalex.org/W2165644552","https://openalex.org/W2186054958","https://openalex.org/W2196162093","https://openalex.org/W2236206745","https://openalex.org/W2256388387","https://openalex.org/W2296073425","https://openalex.org/W2323738766","https://openalex.org/W2338119550","https://openalex.org/W2345837149","https://openalex.org/W2566720494","https://openalex.org/W2593203636","https://openalex.org/W2604439903","https://openalex.org/W2736056705","https://openalex.org/W2740656851","https://openalex.org/W2742079690","https://openalex.org/W2786432334","https://openalex.org/W2807454078","https://openalex.org/W2889081631","https://openalex.org/W2901412525","https://openalex.org/W2913340405","https://openalex.org/W2948398419","https://openalex.org/W2963102641","https://openalex.org/W2997048423","https://openalex.org/W3102963682","https://openalex.org/W6603136545","https://openalex.org/W6629935912","https://openalex.org/W6640786210","https://openalex.org/W6679390333","https://openalex.org/W6679734692","https://openalex.org/W6680149836","https://openalex.org/W6684671274","https://openalex.org/W6686819018","https://openalex.org/W6691895530","https://openalex.org/W6703498655","https://openalex.org/W6731754188","https://openalex.org/W6735635911","https://openalex.org/W6742058293","https://openalex.org/W6751908472"],"related_works":["https://openalex.org/W1975570126","https://openalex.org/W1564680838","https://openalex.org/W2003125260","https://openalex.org/W2951720331","https://openalex.org/W2060591604","https://openalex.org/W1992291644","https://openalex.org/W2166791242","https://openalex.org/W2585162246","https://openalex.org/W1934413089","https://openalex.org/W2098419343"],"abstract_inverted_index":{"Multi-Task":[0],"Learning":[1,45],"(MTL)":[2],"is":[3,48,78],"a":[4,81,103],"method":[5,47],"to":[6,14,50,65,120,137],"simultaneously":[7],"utilize":[8],"commonalities":[9],"and":[10,96,112,129,147,155],"differences":[11],"across":[12],"tasks":[13],"improve":[15,51],"the":[16,35,56,62,66,71,84,92,117,143,153,159],"learning":[17,75,118,126],"performances":[18],"with":[19,110,152,167],"limited":[20],"data.":[21],"However,":[22],"in":[23,83,91,116],"most":[24,67],"real-world":[25,156],"problems,":[26],"there":[27],"are":[28,135],"many":[29],"sample":[30],"noises":[31],"which":[32,87,107],"might":[33],"decline":[34],"performance":[36,53],"of":[37,58,94,140,142,162],"MTL":[38,109,145],"significantly.":[39],"To":[40],"address":[41],"this":[42,99,132],"challenge,":[43],"Self-Paced":[44],"(SPL)":[46],"introduced":[49,79],"its":[52],"by":[54],"increasing":[55],"numbers":[57],"instances":[59],"gradually":[60],"from":[61],"simplest":[63],"samples":[64,128],"difficult":[68,127],"samples.":[69],"In":[70,98],"current":[72],"self-paced":[73],"multi-task":[74],"methods,":[76],"SPL":[77,95,111,148],"as":[80],"term":[82],"optimization":[85],"process,":[86],"causes":[88],"significant":[89],"limitations":[90],"combination":[93],"MTL.":[97],"paper,":[100],"we":[101,134],"propose":[102],"new":[104],"flexible":[105],"framework,":[106,133],"combines":[108],"has":[113],"two":[114],"stages":[115],"process":[119],"make":[121],"it":[122],"more":[123],"suitable":[124],"for":[125],"tasks.":[130],"With":[131],"able":[136],"take":[138],"advantages":[139],"both":[141],"existing":[144],"models":[146],"models.":[149,170],"Further":[150],"experiments":[151],"synthetic":[154],"datasets":[157],"demonstrate":[158],"higher":[160],"efficiency":[161],"our":[163],"approach":[164],"when":[165],"compared":[166],"other":[168],"state-of-the-art":[169]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
