{"id":"https://openalex.org/W3047669212","doi":"https://doi.org/10.1109/tnnls.2020.3011526","title":"Learning to Learn Adaptive Classifier\u2013Predictor for Few-Shot Learning","display_name":"Learning to Learn Adaptive Classifier\u2013Predictor for Few-Shot Learning","publication_year":2020,"publication_date":"2020-08-05","ids":{"openalex":"https://openalex.org/W3047669212","doi":"https://doi.org/10.1109/tnnls.2020.3011526","mag":"3047669212","pmid":"https://pubmed.ncbi.nlm.nih.gov/32755872"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3011526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3011526","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5019808269","display_name":"Nan Lai","orcid":"https://orcid.org/0000-0001-9549-7715"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Lai","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9549-7715","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047682975","display_name":"Meina Kan","orcid":"https://orcid.org/0000-0001-9483-875X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meina Kan","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9483-875X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026010190","display_name":"Chunrui Han","orcid":"https://orcid.org/0000-0001-9725-280X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunrui Han","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100837314","display_name":"Xingguang Song","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingguang Song","raw_affiliation_strings":["Huawei Technologies Company Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Company Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050297728","display_name":"Shiguang Shan","orcid":"https://orcid.org/0000-0002-8348-392X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Shan","raw_affiliation_strings":["CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China","Key Laboratory of Intelligent Information Processing, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8348-392X","affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210097554"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.7499,"has_fulltext":false,"cited_by_count":114,"citation_normalized_percentile":{"value":0.98473724,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"32","issue":"8","first_page":"3458","last_page":"3470"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9693999886512756,"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/classifier","display_name":"Classifier (UML)","score":0.7738639116287231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7273443937301636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6593867540359497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6237233877182007},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.4835900664329529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37180042266845703}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7738639116287231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7273443937301636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6593867540359497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6237233877182007},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.4835900664329529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37180042266845703}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3011526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3011526","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32755872","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32755872","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5982346434","display_name":null,"funder_award_id":"2017145","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G7582179611","display_name":"\u9762\u5411\u975e\u5b8c\u5907\u6807\u6ce8\u573a\u666f\u7684\u8fc1\u79fb\u5b66\u4e60\u7814\u7a76","funder_award_id":"61772496","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1151768060","https://openalex.org/W1793121960","https://openalex.org/W1849277567","https://openalex.org/W2108598243","https://openalex.org/W2114168642","https://openalex.org/W2115733720","https://openalex.org/W2117539524","https://openalex.org/W2149933564","https://openalex.org/W2163605009","https://openalex.org/W2194321275","https://openalex.org/W2194775991","https://openalex.org/W2435450765","https://openalex.org/W2472819217","https://openalex.org/W2561272927","https://openalex.org/W2583010282","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2613718673","https://openalex.org/W2625674597","https://openalex.org/W2742093937","https://openalex.org/W2753160622","https://openalex.org/W2787035179","https://openalex.org/W2787501667","https://openalex.org/W2787705367","https://openalex.org/W2795900505","https://openalex.org/W2797488484","https://openalex.org/W2798836702","https://openalex.org/W2808498263","https://openalex.org/W2907184114","https://openalex.org/W2909383239","https://openalex.org/W2924476266","https://openalex.org/W2936275344","https://openalex.org/W2940256401","https://openalex.org/W2945973131","https://openalex.org/W2951008357","https://openalex.org/W2953044442","https://openalex.org/W2962723986","https://openalex.org/W2962807656","https://openalex.org/W2962810352","https://openalex.org/W2962895018","https://openalex.org/W2962898354","https://openalex.org/W2963078860","https://openalex.org/W2963106996","https://openalex.org/W2963150697","https://openalex.org/W2963340196","https://openalex.org/W2963341924","https://openalex.org/W2963448850","https://openalex.org/W2963680240","https://openalex.org/W2963840853","https://openalex.org/W2963845150","https://openalex.org/W2963943197","https://openalex.org/W2964026991","https://openalex.org/W2964105864","https://openalex.org/W2964112702","https://openalex.org/W2964137095","https://openalex.org/W2964249870","https://openalex.org/W2981707695","https://openalex.org/W2986349107","https://openalex.org/W2997117931","https://openalex.org/W4285719527","https://openalex.org/W4288356697","https://openalex.org/W4293412117","https://openalex.org/W4294646197","https://openalex.org/W4299518610","https://openalex.org/W6620707391","https://openalex.org/W6638318767","https://openalex.org/W6639204139","https://openalex.org/W6677180984","https://openalex.org/W6682132143","https://openalex.org/W6684191040","https://openalex.org/W6717697761","https://openalex.org/W6718171111","https://openalex.org/W6720057410","https://openalex.org/W6732703391","https://openalex.org/W6732742072","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6742288159","https://openalex.org/W6743661861","https://openalex.org/W6747943641","https://openalex.org/W6748284727","https://openalex.org/W6748555532","https://openalex.org/W6750254146","https://openalex.org/W6750736493","https://openalex.org/W6751281049","https://openalex.org/W6752940074","https://openalex.org/W6753311412","https://openalex.org/W6757409893","https://openalex.org/W6757530143","https://openalex.org/W6761113999","https://openalex.org/W6763120227"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1,166],"aims":[2],"to":[3,19,23,55,71,74,78,93,96,102],"learn":[4,20,72,75,94],"a":[5,9,15,21,67,86,99,103,107,111,132,138],"well-performing":[6],"model":[7,26],"from":[8],"few":[10,16],"labeled":[11],"examples.":[12],"Recently,":[13],"quite":[14],"works":[17,45],"propose":[18,66],"predictor":[22,42,52],"directly":[24],"generate":[25,79,137],"parameter":[27],"weights":[28,81],"with":[29,110,118],"episodic":[30],"training":[31],"strategy":[32],"of":[33,128,165,172],"meta-learning":[34,69],"and":[35,135,141,158,169],"achieve":[36],"fairly":[37],"promising":[38],"performance.":[39],"However,":[40],"the":[41,51,59,163,170,182],"in":[43,58,131],"these":[44],"is":[46,91,146],"task-agnostic,":[47],"which":[48],"means":[49],"that":[50],"cannot":[53],"adjust":[54],"novel":[56,68,108,133],"tasks":[57],"testing":[60],"phase.":[61],"In":[62],"this":[63],"article,":[64],"we":[65],"method":[70,145,180],"how":[73,95],"task-adaptive":[76,122,167],"classifier-predictor":[77,88,101,123,168],"classifier":[80],"for":[82,153],"few-shot":[83,154],"classification.":[84],"Specifically,":[85],"meta":[87],"module,":[89],"(MPM)":[90],"introduced":[92],"adaptively":[97],"update":[98],"task-agnostic":[100],"task-specialized":[104],"one":[105],"on":[106,148,185],"task":[109,134],"newly":[112,174],"proposed":[113,175],"center-uniqueness":[114,176],"loss":[115],"function.":[116],"Compared":[117],"previous":[119],"works,":[120],"our":[121,173,179],"can":[124],"better":[125],"capture":[126],"characteristics":[127],"each":[129],"category":[130],"thus":[136,188],"more":[139],"accurate":[140],"effective":[142],"classifier.":[143],"Our":[144],"evaluated":[147],"two":[149],"commonly":[150],"used":[151],"benchmarks":[152],"classification,":[155],"i.e.,":[156],"miniImageNet":[157],"tieredImageNet.":[159],"Ablation":[160],"study":[161],"verifies":[162],"necessity":[164],"effectiveness":[171],"loss.":[177],"Moreover,":[178],"achieves":[181],"state-of-the-art":[183],"performance":[184],"both":[186],"benchmarks,":[187],"demonstrating":[189],"its":[190],"superiority.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}