{"id":"https://openalex.org/W4308415180","doi":"https://doi.org/10.3389/fdata.2022.1052972","title":"Dynamic transfer learning with progressive meta-task scheduler","display_name":"Dynamic transfer learning with progressive meta-task scheduler","publication_year":2022,"publication_date":"2022-11-03","ids":{"openalex":"https://openalex.org/W4308415180","doi":"https://doi.org/10.3389/fdata.2022.1052972","pmid":"https://pubmed.ncbi.nlm.nih.gov/36407326"},"language":"en","primary_location":{"id":"doi:10.3389/fdata.2022.1052972","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2022.1052972","pdf_url":null,"source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3389/fdata.2022.1052972","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100702646","display_name":"Jun Wu","orcid":"https://orcid.org/0000-0002-1512-524X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Wu","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL, United States","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073158087","display_name":"Jingrui He","orcid":"https://orcid.org/0000-0002-6429-6272"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jingrui He","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL, United States","School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL, United States","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, United States","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073158087"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12445898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"1052972","last_page":"1052972"},"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":0.989799976348877,"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":0.9891999959945679,"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":0.8413945436477661},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6884589791297913},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.6822723746299744},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6746705770492554},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6228592991828918},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5422419905662537},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.515226423740387},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4412020146846771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4046296775341034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3745914101600647},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35330966114997864},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07388696074485779}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8413945436477661},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6884589791297913},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.6822723746299744},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6746705770492554},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6228592991828918},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5422419905662537},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.515226423740387},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4412020146846771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4046296775341034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3745914101600647},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35330966114997864},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07388696074485779},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fdata.2022.1052972","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2022.1052972","pdf_url":null,"source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},{"id":"pmid:36407326","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36407326","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":"Frontiers in big data","raw_type":null},{"id":"pmh:oai:doaj.org/article:f24e3dcd379640d1b3a66de8ec694b2d","is_oa":true,"landing_page_url":"https://doaj.org/article/f24e3dcd379640d1b3a66de8ec694b2d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Big Data, Vol 5 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9669596","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9669596","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Big Data","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/fdata.2022.1052972","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2022.1052972","pdf_url":null,"source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1366408413","display_name":null,"funder_award_id":"211790","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2926720356","display_name":null,"funder_award_id":"32799","funder_id":"https://openalex.org/F4320332299","funder_display_name":"National Institute of Food and Agriculture"},{"id":"https://openalex.org/G360821608","display_name":"EAGER: Weakly Supervised Graph Neural Networks","funder_award_id":"2137468","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4233114941","display_name":null,"funder_award_id":"1024178","funder_id":"https://openalex.org/F4320332299","funder_display_name":"National Institute of Food and Agriculture"},{"id":"https://openalex.org/G4893058617","display_name":null,"funder_award_id":"IIS-1947203, IIS-2117902, and IIS-2137468","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5620962805","display_name":null,"funder_award_id":"67021","funder_id":"https://openalex.org/F4320332299","funder_display_name":"National Institute of Food and Agriculture"},{"id":"https://openalex.org/G6770826516","display_name":null,"funder_award_id":"2020-67021-32799","funder_id":"https://openalex.org/F4320332299","funder_display_name":"National Institute of Food and Agriculture"},{"id":"https://openalex.org/G7286171126","display_name":null,"funder_award_id":"1947203","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7374246537","display_name":"III: Small: RareXplain: A Computational Framework for Explainable Rare Category Analysis","funder_award_id":"2117902","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"},{"id":"https://openalex.org/F4320332299","display_name":"National Institute of Food and Agriculture","ror":"https://ror.org/05qx3fv49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1731081199","https://openalex.org/W2104094955","https://openalex.org/W2112796928","https://openalex.org/W2165698076","https://openalex.org/W2334687549","https://openalex.org/W2770645414","https://openalex.org/W2898017895","https://openalex.org/W2946965516","https://openalex.org/W2963756240","https://openalex.org/W2963826694","https://openalex.org/W3033062622","https://openalex.org/W3035000591","https://openalex.org/W3035990676","https://openalex.org/W3036793694","https://openalex.org/W3040216392","https://openalex.org/W3101951402","https://openalex.org/W3106342630","https://openalex.org/W3163842339","https://openalex.org/W3166235106","https://openalex.org/W3171368093","https://openalex.org/W3173601880","https://openalex.org/W3176425322","https://openalex.org/W3212972912","https://openalex.org/W3213724640","https://openalex.org/W4212774754","https://openalex.org/W4236965008","https://openalex.org/W4385565193","https://openalex.org/W6636267554","https://openalex.org/W6651522357","https://openalex.org/W6683633756","https://openalex.org/W6687483927","https://openalex.org/W6688325169","https://openalex.org/W6713955831","https://openalex.org/W6736057607","https://openalex.org/W6751959828","https://openalex.org/W6752781527","https://openalex.org/W6758248578","https://openalex.org/W6760604821","https://openalex.org/W6760842081","https://openalex.org/W6761139768","https://openalex.org/W6773992155","https://openalex.org/W6779253770","https://openalex.org/W6779285221","https://openalex.org/W6779520018","https://openalex.org/W6785863203","https://openalex.org/W6795847147","https://openalex.org/W6796270177","https://openalex.org/W6796403369","https://openalex.org/W6803458881","https://openalex.org/W6803673623","https://openalex.org/W6810835477","https://openalex.org/W6840112363","https://openalex.org/W6840941634","https://openalex.org/W6842139525"],"related_works":["https://openalex.org/W4386121542","https://openalex.org/W2821676139","https://openalex.org/W3043695725","https://openalex.org/W4281862540","https://openalex.org/W4382138864","https://openalex.org/W3022215768","https://openalex.org/W4387770285","https://openalex.org/W3163412989","https://openalex.org/W1488960379","https://openalex.org/W3004751640"],"abstract_inverted_index":{"Dynamic":[0],"transfer":[1,7,38,93],"learning":[2,39],"refers":[3],"to":[4,17,101,104,125],"the":[5,42,61,106,113,126],"knowledge":[6],"from":[8,117],"a":[9,18,80,87],"static":[10],"source":[11],"task":[12,21,44],"with":[13,22],"adequate":[14],"label":[15,26],"information":[16],"dynamic":[19,37,92],"target":[20,43,62,128],"little":[23],"or":[24],"no":[25],"information.":[27],"However,":[28],"most":[29],"existing":[30],"theoretical":[31],"studies":[32],"and":[33,110,140],"practical":[34],"algorithms":[35],"of":[36,98,108,120,132],"assume":[40],"that":[41],"is":[45,53,64,100,136],"continuously":[46],"evolving":[47],"over":[48],"time.":[49],"This":[50],"strong":[51],"assumption":[52],"often":[54],"violated":[55],"in":[56,75],"real":[57],"world":[58],"applications,":[59],"e.g.,":[60],"distribution":[63],"suddenly":[65],"changing":[66],"at":[67],"some":[68],"time":[69],"stamp.":[70],"To":[71],"solve":[72],"this":[73,76],"problem,":[74],"paper,":[77],"we":[78],"propose":[79],"novel":[81],"meta-learning":[82],"framework":[83,135],"L2S":[84,99,134],"based":[85],"on":[86],"progressive":[88],"meta-task":[89],"scheduler":[90],"for":[91,122],"learning.":[94],"The":[95,130],"crucial":[96],"idea":[97],"incrementally":[102],"learn":[103,112],"schedule":[105],"meta-pairs":[107,119],"tasks":[109,121],"then":[111],"optimal":[114],"model":[115],"initialization":[116],"those":[118],"fast":[123],"adaptation":[124],"newest":[127],"task.":[129],"effectiveness":[131],"our":[133],"verified":[137],"both":[138],"theoretically":[139],"empirically.":[141]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}