{"id":"https://openalex.org/W4318040964","doi":"https://doi.org/10.1561/2000000115","title":"Learning with Limited Samples: Meta-Learning and Applications to Communication Systems","display_name":"Learning with Limited Samples: Meta-Learning and Applications to Communication Systems","publication_year":2023,"publication_date":"2023-01-25","ids":{"openalex":"https://openalex.org/W4318040964","doi":"https://doi.org/10.1561/2000000115"},"language":"en","primary_location":{"id":"doi:10.1561/2000000115","is_oa":true,"landing_page_url":"https://doi.org/10.1561/2000000115","pdf_url":null,"source":{"id":"https://openalex.org/S123473935","display_name":"Foundations and Trends\u00ae in Signal Processing","issn_l":"1932-8346","issn":["1932-8346","1932-8354"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318575","host_organization_name":"Now Publishers","host_organization_lineage":["https://openalex.org/P4310318575"],"host_organization_lineage_names":["Now Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Foundations and Trends\u00ae in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1561/2000000115","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091442724","display_name":"Lisha Chen","orcid":"https://orcid.org/0000-0001-8980-5275"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lisha Chen","raw_affiliation_strings":["Rensselaer Polytechnic Institute ,","Rensselaer Polytechnic Institute, USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute ,","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Rensselaer Polytechnic Institute, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025595195","display_name":"Sharu Theresa Jose","orcid":"https://orcid.org/0000-0001-8872-3462"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sharu Theresa Jose","raw_affiliation_strings":["King's College London ,","King's College London, UK"],"affiliations":[{"raw_affiliation_string":"King's College London ,","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"King's College London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046394703","display_name":"Ivana Nikoloska","orcid":"https://orcid.org/0000-0002-0100-9344"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ivana Nikoloska","raw_affiliation_strings":["King's College London ,","King's College London, UK"],"affiliations":[{"raw_affiliation_string":"King's College London ,","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"King's College London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118899957","display_name":"Sangwoo Park","orcid":"https://orcid.org/0000-0003-4091-7860"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sangwoo Park","raw_affiliation_strings":["King's College London ,","King's College London, UK"],"affiliations":[{"raw_affiliation_string":"King's College London ,","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"King's College London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783476","display_name":"Tianyi Chen","orcid":"https://orcid.org/0000-0003-3477-1439"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianyi Chen","raw_affiliation_strings":["Rensselaer Polytechnic Institute ,","Rensselaer Polytechnic Institute, USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute ,","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Rensselaer Polytechnic Institute, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017736224","display_name":"Osvaldo Simeone","orcid":"https://orcid.org/0000-0001-9898-3209"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Osvaldo Simeone","raw_affiliation_strings":["King's College London ,","King's College London, UK"],"affiliations":[{"raw_affiliation_string":"King's College London ,","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"King's College London, UK","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091442724"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":4.8594,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.96009098,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"17","issue":"2","first_page":"79","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.7389000058174133,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.7389000058174133,"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/T10860","display_name":"Speech and Audio Processing","score":0.6858999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6334999799728394,"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":0.5444300770759583},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36025869846343994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5444300770759583},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36025869846343994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1561/2000000115","is_oa":true,"landing_page_url":"https://doi.org/10.1561/2000000115","pdf_url":null,"source":{"id":"https://openalex.org/S123473935","display_name":"Foundations and Trends\u00ae in Signal Processing","issn_l":"1932-8346","issn":["1932-8346","1932-8354"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318575","host_organization_name":"Now Publishers","host_organization_lineage":["https://openalex.org/P4310318575"],"host_organization_lineage_names":["Now Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Foundations and Trends\u00ae in Signal Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1561/2000000115","is_oa":true,"landing_page_url":"https://doi.org/10.1561/2000000115","pdf_url":null,"source":{"id":"https://openalex.org/S123473935","display_name":"Foundations and Trends\u00ae in Signal Processing","issn_l":"1932-8346","issn":["1932-8346","1932-8354"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318575","host_organization_name":"Now Publishers","host_organization_lineage":["https://openalex.org/P4310318575"],"host_organization_lineage_names":["Now Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Foundations and Trends\u00ae in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1576660662","https://openalex.org/W1621791442","https://openalex.org/W1970163214","https://openalex.org/W1983644172","https://openalex.org/W1990676004","https://openalex.org/W1991133427","https://openalex.org/W1994616650","https://openalex.org/W2016852016","https://openalex.org/W2026402424","https://openalex.org/W2031264011","https://openalex.org/W2039956044","https://openalex.org/W2064997474","https://openalex.org/W2069577676","https://openalex.org/W2082261506","https://openalex.org/W2096710051","https://openalex.org/W2106440681","https://openalex.org/W2121326525","https://openalex.org/W2121582537","https://openalex.org/W2122053572","https://openalex.org/W2124659975","https://openalex.org/W2127542833","https://openalex.org/W2130797782","https://openalex.org/W2135194391","https://openalex.org/W2138218159","https://openalex.org/W2148389554","https://openalex.org/W2149743051","https://openalex.org/W2154952480","https://openalex.org/W2499145065","https://openalex.org/W2507540959","https://openalex.org/W2606904667","https://openalex.org/W2614367549","https://openalex.org/W2734408173","https://openalex.org/W2787894218","https://openalex.org/W2796980109","https://openalex.org/W2798836702","https://openalex.org/W2885033069","https://openalex.org/W2946889564","https://openalex.org/W2957613877","https://openalex.org/W2963470657","https://openalex.org/W2968026845","https://openalex.org/W2971598376","https://openalex.org/W2974539922","https://openalex.org/W2982169647","https://openalex.org/W2984844508","https://openalex.org/W2985873131","https://openalex.org/W3000769608","https://openalex.org/W3006643426","https://openalex.org/W3018252856","https://openalex.org/W3018292345","https://openalex.org/W3036589489","https://openalex.org/W3037447387","https://openalex.org/W3047517046","https://openalex.org/W3081147848","https://openalex.org/W3089389858","https://openalex.org/W3097158613","https://openalex.org/W3109055551","https://openalex.org/W3110675837","https://openalex.org/W3135266904","https://openalex.org/W3139657805","https://openalex.org/W3153083735","https://openalex.org/W3156469768","https://openalex.org/W3172394904","https://openalex.org/W3205218451","https://openalex.org/W3217596786","https://openalex.org/W4220918847","https://openalex.org/W4223904523","https://openalex.org/W4226204403","https://openalex.org/W4231147659","https://openalex.org/W4235371439","https://openalex.org/W4247165901","https://openalex.org/W4288388643","https://openalex.org/W4317927903"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Deep":[0],"learning":[1,9,35,59,78,155],"has":[2],"achieved":[3],"remarkable":[4],"success":[5],"in":[6,49,75,91,114],"many":[7],"machine":[8,77],"tasks":[10,67],"such":[11],"as":[12,88,127,129],"image":[13],"classification,":[14],"speech":[15],"recognition,":[16],"and":[17,83,108,118,163,187],"game":[18],"playing.":[19],"However,":[20],"these":[21],"break":[22],"through":[23],"sare":[24],"often":[25],"difficult":[26],"to":[27,47,65,101,158,173,176],"translate":[28],"into":[29],"real-world":[30],"engineering":[31,93,109],"systems":[32],"because":[33],"deep":[34],"models":[36],"require":[37],"a":[38,130,153],"massive":[39],"number":[40],"of":[41,138,150,179,197],"training":[42],"samples,":[43],"which":[44],"are":[45,86,166],"costly":[46],"obtain":[48],"practice.":[50],"To":[51],"address":[52],"labeled":[53],"data":[54],"scarcity,":[55],"few-shot":[56],"meta-learning":[57,70,113,125,139,151,180],"optimizes":[58],"algorithms":[60],"that":[61],"can":[62],"efficiently":[63],"adapt":[64],"new":[66],"quickly.":[68],"While":[69],"is":[71,192],"gaining":[72],"significant":[73],"interest":[74],"the":[76,92,123,136,147,177],"literature,":[79],"its":[80],"working":[81],"principles":[82],"theoretic":[84],"fundamentals":[85],"not":[87],"well":[89,128],"understood":[90],"community.":[94],"This":[95],"review":[96],"monograph":[97,191],"provides":[98],"an":[99,171,195],"introduction":[100,172],"metalearning":[102],"by":[103,170],"covering":[104],"principles,":[105],"algorithms,":[106,126],"theory,":[107],"applications.":[110],"After":[111],"introducing":[112],"comparison":[115],"with":[116,181,194],"conventional":[117],"joint":[119],"learning,":[120],"we":[121,142],"describe":[122],"main":[124],"general":[131],"bilevel":[132],"optimization":[133],"framework":[134],"for":[135],"definition":[137],"techniques.":[140],"Then,":[141],"summarize":[143],"known":[144],"results":[145],"on":[146],"generalization":[148],"capabilities":[149],"from":[152],"statistical":[154],"viewpoint.":[156],"Applications":[157],"communication":[159],"systems,":[160],"including":[161],"decoding":[162],"power":[164],"allocation,":[165],"discussed":[167],"next,":[168],"followed":[169],"aspects":[174],"related":[175],"integration":[178],"emerging":[182],"computing":[183],"technologies,":[184],"namely":[185],"neuromorphic":[186],"quantum":[188],"computing.":[189],"The":[190],"concluded":[193],"overview":[196],"open":[198],"research":[199],"challenges.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-04T06:10:10.580331","created_date":"2025-10-10T00:00:00"}