{"id":"https://openalex.org/W2897298952","doi":"https://doi.org/10.1109/ijcnn.2018.8489583","title":"Meta-Learning Related Tasks with Recurrent Networks: Optimization and Generalization","display_name":"Meta-Learning Related Tasks with Recurrent Networks: Optimization and Generalization","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897298952","doi":"https://doi.org/10.1109/ijcnn.2018.8489583","mag":"2897298952"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5038035260","display_name":"Thy Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I119942284","display_name":"Missouri State University","ror":"https://ror.org/01d2sez20","country_code":"US","type":"education","lineage":["https://openalex.org/I119942284"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thy Nguyen","raw_affiliation_strings":["Computer Science Dept., Missouri State University, Springfield, MO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Dept., Missouri State University, Springfield, MO","institution_ids":["https://openalex.org/I119942284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038008558","display_name":"A. Steven Younger","orcid":null},"institutions":[{"id":"https://openalex.org/I119942284","display_name":"Missouri State University","ror":"https://ror.org/01d2sez20","country_code":"US","type":"education","lineage":["https://openalex.org/I119942284"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Steven Younger","raw_affiliation_strings":["Department of Physics, Astronomy, and Materials Science, Missouri State University, Springfield, MO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, Astronomy, and Materials Science, Missouri State University, Springfield, MO","institution_ids":["https://openalex.org/I119942284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049624531","display_name":"Emmett Redd","orcid":"https://orcid.org/0000-0003-2618-2159"},"institutions":[{"id":"https://openalex.org/I119942284","display_name":"Missouri State University","ror":"https://ror.org/01d2sez20","country_code":"US","type":"education","lineage":["https://openalex.org/I119942284"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emmett Redd","raw_affiliation_strings":["Department of Physics, Astronomy, and Materials Science, Missouri State University, Springfield, MO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, Astronomy, and Materials Science, Missouri State University, Springfield, MO","institution_ids":["https://openalex.org/I119942284"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040578359","display_name":"Tayo Obafemi-Ajayi","orcid":"https://orcid.org/0000-0002-0155-9733"},"institutions":[{"id":"https://openalex.org/I119942284","display_name":"Missouri State University","ror":"https://ror.org/01d2sez20","country_code":"US","type":"education","lineage":["https://openalex.org/I119942284"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tayo Obafemi-Ajayi","raw_affiliation_strings":["Engineering Program, Missouri State University, Springfield, MO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Program, Missouri State University, Springfield, MO","institution_ids":["https://openalex.org/I119942284"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61274939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9961000084877014,"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":0.9957000017166138,"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":0.7839925289154053},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.710127592086792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6690018773078918},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6160072684288025},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6032710075378418},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.4589375853538513},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.45543158054351807},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3416344225406647},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3091123104095459},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14539751410484314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7839925289154053},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.710127592086792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6690018773078918},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6160072684288025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6032710075378418},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.4589375853538513},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.45543158054351807},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3416344225406647},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3091123104095459},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14539751410484314},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:bearworks.missouristate.edu:articles-cnas-3498","is_oa":false,"landing_page_url":"https://bearworks.missouristate.edu/articles-cnas/2499","pdf_url":null,"source":{"id":"https://openalex.org/S4377196450","display_name":"BearWorks (Missouri State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119942284","host_organization_name":"Missouri State University","host_organization_lineage":["https://openalex.org/I119942284"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"College of Natural and Applied Sciences","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W581956982","https://openalex.org/W1689711448","https://openalex.org/W1924770834","https://openalex.org/W1980411262","https://openalex.org/W2050310928","https://openalex.org/W2064675550","https://openalex.org/W2111053603","https://openalex.org/W2116261113","https://openalex.org/W2137825550","https://openalex.org/W2145680191","https://openalex.org/W2162953669","https://openalex.org/W2163181514","https://openalex.org/W2271840356","https://openalex.org/W2409744450","https://openalex.org/W2472819217","https://openalex.org/W2535697732","https://openalex.org/W2550182557","https://openalex.org/W2578206533","https://openalex.org/W2590833223","https://openalex.org/W2602585184","https://openalex.org/W2604763608","https://openalex.org/W2726717203","https://openalex.org/W2951634833","https://openalex.org/W2963341924","https://openalex.org/W2963775850","https://openalex.org/W3091905774","https://openalex.org/W4294526978","https://openalex.org/W4300971732","https://openalex.org/W6616837769","https://openalex.org/W6640212811","https://openalex.org/W6680455300","https://openalex.org/W6694517276","https://openalex.org/W6714477741","https://openalex.org/W6717367658","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6728634397","https://openalex.org/W6729433768","https://openalex.org/W6731982132","https://openalex.org/W6733556328","https://openalex.org/W6735618850","https://openalex.org/W6736057607","https://openalex.org/W6740472315","https://openalex.org/W6783596713","https://openalex.org/W6864424756"],"related_works":["https://openalex.org/W2381411913","https://openalex.org/W2010541108","https://openalex.org/W2087331387","https://openalex.org/W2006060538","https://openalex.org/W4367000426","https://openalex.org/W4321151660","https://openalex.org/W4386047771","https://openalex.org/W2107708607","https://openalex.org/W2111355417","https://openalex.org/W4283332751"],"abstract_inverted_index":{"There":[0],"have":[1],"been":[2],"recent":[3],"interest":[4],"in":[5],"meta-learning":[6,27,53,142,164],"systems:":[7],"i.e.,":[8],"networks":[9],"that":[10,76,145,187],"are":[11,96],"trained":[12],"to":[13,55,89,194],"learn":[14,56],"across":[15,57],"multiple":[16,58],"tasks.":[17],"This":[18],"paper":[19],"focuses":[20],"on":[21,30,43,140,172],"optimization":[22,34],"and":[23,41,100,120,137,158,181],"generalization":[24,49],"of":[25,38,51,80,132,162,189],"a":[26,69,91,110,117,122,190],"system":[28,54,82],"based":[29],"recurrent":[31],"networks.":[32],"The":[33,104,126],"investigates":[35],"the":[36,48,64,78,81,130,141,146,160],"influence":[37],"diverse":[39],"structures":[40],"parameters":[42],"its":[44],"performance.":[45,196],"We":[46,67],"demonstrate":[47,128],"(robustness)":[50],"our":[52,163],"tasks":[59,61,173],"including":[60],"unseen":[62,174],"during":[63,87,175],"metatraining":[65],"phase.":[66],"introduce":[68],"meta-cost":[70],"function":[71,151],"(Mean":[72],"Squared":[73],"Fair":[74],"Error)":[75],"enhances":[77],"performance":[79,106,154],"by":[83],"not":[84],"penalizing":[85],"it":[86,167],"transitions":[88],"learning":[90],"new":[92],"task.":[93],"Evaluation":[94],"results":[95,127],"presented":[97],"for":[98,155],"Boolean":[99],"quadratic":[101],"functions":[102,139],"datasets.":[103],"best":[105,156],"is":[107],"obtained":[108],"using":[109],"Long":[111],"Short-Term":[112],"Memory":[113],"(LSTM)":[114],"topology":[115],"without":[116],"forget":[118],"gate":[119],"with":[121],"clipped":[123],"memory":[124,191],"cell.":[125],"i)":[129],"impact":[131],"different":[133],"LSTM":[134,180],"architectures,":[135],"parameters,":[136],"error":[138,150],"process;":[143],"ii)":[144],"mean":[147],"squared":[148],"fair":[149],"does":[152],"improve":[153],"learning;":[157],"iii)":[159],"robustness":[161],"framework":[165],"as":[166],"generalizes":[168],"well":[169],"when":[170],"tested":[171],"meta-training.":[176],"Comparison":[177],"between":[178],"No-Forget-Gate":[179],"Gated":[182],"Recurrent":[183],"Unit":[184],"also":[185],"suggest":[186],"absence":[188],"cell":[192],"tends":[193],"degrade":[195]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
