{"id":"https://openalex.org/W7204699720","doi":"https://doi.org/10.5281/zenodo.22182275","title":"Learning to Learn: A Narrative Review of Meta-Learning from Synaptic Rules to Model-Agnostic Adaptation","display_name":"Learning to Learn: A Narrative Review of Meta-Learning from Synaptic Rules to Model-Agnostic Adaptation","publication_year":2026,"publication_date":"2026-08-31","ids":{"openalex":"https://openalex.org/W7204699720","doi":"https://doi.org/10.5281/zenodo.22182275"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.22182275","doi":"https://doi.org/10.5281/zenodo.22182275","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22182275","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"parent_works":[],"lineage":["https://openalex.org/W7204699720"],"child_works_count":0,"type":"review","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.22182275","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120933120","display_name":"Zen Revista","orcid":"https://orcid.org/0009-0007-6299-2008","observed_orcids":["https://orcid.org/0009-0007-6299-2008"]},"institutions":[{"id":"https://openalex.org/I4210124990","display_name":"Faculdades Guarulhos","ror":"https://ror.org/02s6maw65","country_code":"BR","type":"other","lineage":["https://openalex.org/I4210124990"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Revista, Zen","raw_affiliation_strings":["Faculdade de Guarulhos (FG)"],"raw_orcid":"https://orcid.org/0009-0007-6299-2008","affiliations":[{"raw_affiliation_string":"Faculdade de Guarulhos (FG)","institution_ids":["https://openalex.org/I4210124990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5148638389","display_name":"10 IA","orcid":"https://orcid.org/0009-0007-6299-2008","observed_orcids":["https://orcid.org/0009-0007-6299-2008"]},"institutions":[{"id":"https://openalex.org/I4210124990","display_name":"Faculdades Guarulhos","ror":"https://ror.org/02s6maw65","country_code":"BR","type":"other","lineage":["https://openalex.org/I4210124990"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"IA, 10","raw_affiliation_strings":["Faculdade de Guarulhos (FG)"],"raw_orcid":"https://orcid.org/0009-0007-6299-2008","affiliations":[{"raw_affiliation_string":"Faculdade de Guarulhos (FG)","institution_ids":["https://openalex.org/I4210124990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210124990"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9994999766349792,"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":0.9994999766349792,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.0003000000142492354,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":9.999999747378752e-05,"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/meta-learning","display_name":"meta-learning","score":0.9980000257492065},{"id":"https://openalex.org/keywords/matching-networks","display_name":"matching networks","score":0.9269999861717224},{"id":"https://openalex.org/keywords/model-agnostic-meta-learning","display_name":"model-agnostic meta-learning","score":0.8389999866485596},{"id":"https://openalex.org/keywords/prototypical-networks","display_name":"prototypical networks","score":0.9869999885559082},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.9319999814033508},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.7289999723434448},{"id":"https://openalex.org/keywords/self-reference","display_name":"self-reference","score":0.6620000004768372}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6832000017166138},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.5981000065803528},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5486000180244446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5163000226020813},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.4997999966144562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4909999966621399},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C3020000205","wikidata":"https://www.wikidata.org/wiki/Q2412849","display_name":"Narrative review","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3400000035762787},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.28380000591278076},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2565000057220459},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.2547999918460846},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.22182275","doi":"https://doi.org/10.5281/zenodo.22182275","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22182275","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.22182276","doi":"https://doi.org/10.5281/zenodo.22182276","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22182276","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.5281/zenodo.22182275","doi":"https://doi.org/10.5281/zenodo.22182275","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22182275","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7163822666","https://openalex.org/W2530400138","https://openalex.org/W4395485046","https://openalex.org/W4298152849","https://openalex.org/W3095270930","https://openalex.org/W3020638616","https://openalex.org/W7133335573","https://openalex.org/W7131376214","https://openalex.org/W7097835109","https://openalex.org/W3003387229"],"abstract_inverted_index":{"Meta-learning---the":[0],"learning":[1,6,18],"whose":[2],"object":[3],"is":[4,136,193,197,205],"the":[5,32,141,146,148,151,155,158,163,165,167,170,174,179,184,189,198,206,210,214],"itself---moved":[7],"from":[8,209],"Schmidhuber's":[9,64],"self-referential":[10],"principles":[11],"and":[12,25,27,46,50,69,79,86,92,97,103,109,117,123,128,130,150,169,178],"Bengio's":[13],"synaptic":[14,72],"rules":[15],"through":[16],"Thrun's":[17,74],"to":[19,31,83,213],"learn,":[20],"Hochreiter's":[21],"bidirectional":[22,89],"LSTM":[23],"meta-learner,":[24],"Ando":[26,91],"Zhang's":[28,93],"predictive":[29],"structures":[30],"few-shot":[33,159],"wave":[34],"of":[35,59],"Vinyals's":[36],"matching":[37,100],"networks,":[38,49,101,127],"Duan's":[39],"RL":[40,106],"squared,":[41,107],"Ravi's":[42],"optimization-as-model,":[43],"Finn's":[44],"MAML,":[45,120],"Snell's":[47],"prototypical":[48,126],"Hospedales's":[51],"survey.":[52,133],"This":[53],"article":[54],"presents":[55],"a":[56],"narrative":[57],"review":[58,135],"that":[60,195,202],"arc's":[61],"canonical":[62],"line:":[63],"1987":[65],"principles,":[66],"Bengio,":[67,68],"Cloutier's":[70],"1991":[71],"rules,":[73],"1996":[75],"n-th":[76],"thing,":[77],"Thrun":[78],"Pratt's":[80],"1998":[81],"Learning":[82],"Learn,":[84],"Hochreiter":[85],"colleagues's":[87,98,104,131],"2001":[88],"LSTM,":[90],"2005":[94],"structures,":[95],"Vinyals":[96],"2016":[99,105],"Duan":[102],"Ravi":[108],"Larochelle's":[110],"2017":[111,119,125],"optimization":[112],"as":[113],"model,":[114],"Finn,":[115],"Abbeel,":[116],"Levine's":[118],"Snell,":[121],"Swersky,":[122],"Zemel's":[124],"Hospedales":[129],"2021":[132],"The":[134],"organized":[137,188],"around":[138],"three":[139,186],"themes:":[140],"learning-to-learn":[142],"origins,":[143],"in":[144,161,182],"which":[145,162,183],"self-reference's,":[147],"synaptic's,":[149],"transfer's":[152],"framings":[153],"defined":[154],"field's":[156,190],"questions;":[157],"wave,":[160],"metric's,":[164],"recurrent's,":[166],"gradient's,":[168],"prototype's":[171],"methods":[172],"made":[173],"fast":[175],"adaptation":[176],"practical;":[177],"survey's":[180],"synthesis,":[181],"taxonomy's":[185],"families":[187],"maturity.":[191],"It":[192],"concluded":[194],"meta-learning":[196],"learning's":[199],"second":[200],"order---and":[201],"its":[203],"arc":[204],"adaptation's":[207],"generalization":[208],"task's":[211],"specifics":[212],"learner's":[215],"rules.":[216]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-31T00:00:00"}
