{"id":"https://openalex.org/W4360897378","doi":"https://doi.org/10.1109/tpami.2023.3261387","title":"Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning","display_name":"Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning","publication_year":2023,"publication_date":"2023-03-24","ids":{"openalex":"https://openalex.org/W4360897378","doi":"https://doi.org/10.1109/tpami.2023.3261387","pmid":"https://pubmed.ncbi.nlm.nih.gov/37030677"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3261387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3261387","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5048206537","display_name":"Sungyong Baik","orcid":"https://orcid.org/0000-0001-5702-4618"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungyong Baik","raw_affiliation_strings":["Department of Data Science, Hanyang University, Seoul, South Korea","Automation and Systems Research Institute (ASRI), Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5702-4618","affiliations":[{"raw_affiliation_string":"Department of Data Science, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"Automation and Systems Research Institute (ASRI), Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031461471","display_name":"Myungsub Choi","orcid":"https://orcid.org/0000-0003-4731-3074"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myungsub Choi","raw_affiliation_strings":["Samsung Advanced Institute of Technology, Seoul, South Korea","Automation and Systems Research Institute (ASRI), Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4731-3074","affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"Automation and Systems Research Institute (ASRI), Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013350271","display_name":"Janghoon Choi","orcid":"https://orcid.org/0000-0002-0932-6213"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Janghoon Choi","raw_affiliation_strings":["Graduate School of Data Science, Kyungpook National University, Seoul, South Korea","Automation and Systems Research Institute (ASRI), Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0932-6213","affiliations":[{"raw_affiliation_string":"Graduate School of Data Science, Kyungpook National University, Seoul, South Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"Automation and Systems Research Institute (ASRI), Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101422101","display_name":"Heewon Kim","orcid":"https://orcid.org/0000-0001-7777-9823"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heewon Kim","raw_affiliation_strings":["Global School of Media, College of IT, Soongsil University, Seoul, South Korea","Automation and Systems Research Institute (ASRI), Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7777-9823","affiliations":[{"raw_affiliation_string":"Global School of Media, College of IT, Soongsil University, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"Automation and Systems Research Institute (ASRI), Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046504049","display_name":"Kyoung Mu Lee","orcid":"https://orcid.org/0000-0001-7210-1036"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoung Mu Lee","raw_affiliation_strings":["Automation and Systems Research Institute (ASRI), Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7210-1036","affiliations":[{"raw_affiliation_string":"Automation and Systems Research Institute (ASRI), Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.746,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.98354855,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"46","issue":"3","first_page":"1441","last_page":"1454"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9933000206947327,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9803000092506409,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7880139350891113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7325215339660645},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7245692610740662},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6280414462089539},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.588408350944519},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5576484203338623},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.49386340379714966},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44765201210975647},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44748741388320923},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4287049174308777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880139350891113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7325215339660645},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7245692610740662},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6280414462089539},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.588408350944519},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5576484203338623},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.49386340379714966},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44765201210975647},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44748741388320923},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4287049174308777},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3261387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3261387","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37030677","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37030677","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2206812781","display_name":null,"funder_award_id":"2021-0-02068","funder_id":"https://openalex.org/F4320321292","funder_display_name":"Seoul National University"},{"id":"https://openalex.org/G2632313145","display_name":null,"funder_award_id":"2020-0-01373","funder_id":"https://openalex.org/F4320321292","funder_display_name":"Seoul National University"},{"id":"https://openalex.org/G5590585806","display_name":null,"funder_award_id":"HY-202200000001348","funder_id":"https://openalex.org/F4320321142","funder_display_name":"Hanyang University"},{"id":"https://openalex.org/G6992770579","display_name":null,"funder_award_id":"5264-20190101","funder_id":"https://openalex.org/F4320310381","funder_display_name":"Hyundai Motor Group"},{"id":"https://openalex.org/G8220994093","display_name":null,"funder_award_id":"2022-0-00156","funder_id":"https://openalex.org/F4320321292","funder_display_name":"Seoul National University"}],"funders":[{"id":"https://openalex.org/F4320310381","display_name":"Hyundai Motor Group","ror":"https://ror.org/05kxbz959"},{"id":"https://openalex.org/F4320321142","display_name":"Hanyang University","ror":"https://ror.org/046865y68"},{"id":"https://openalex.org/F4320321292","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W1598377843","https://openalex.org/W1797268635","https://openalex.org/W1857884451","https://openalex.org/W2089217417","https://openalex.org/W2117539524","https://openalex.org/W2130026429","https://openalex.org/W2137825550","https://openalex.org/W2147253850","https://openalex.org/W2158592639","https://openalex.org/W2158915909","https://openalex.org/W2186330282","https://openalex.org/W2465345967","https://openalex.org/W2740685955","https://openalex.org/W2742093937","https://openalex.org/W2769654144","https://openalex.org/W2915935370","https://openalex.org/W2916158460","https://openalex.org/W2949258649","https://openalex.org/W2962799101","https://openalex.org/W2963070905","https://openalex.org/W2963093735","https://openalex.org/W2963499285","https://openalex.org/W2964105864","https://openalex.org/W2964251418","https://openalex.org/W2973673960","https://openalex.org/W3034354010","https://openalex.org/W3034416326","https://openalex.org/W3034587791","https://openalex.org/W3092600962","https://openalex.org/W3095891659","https://openalex.org/W3102015846","https://openalex.org/W3108975329","https://openalex.org/W3118608800","https://openalex.org/W3187995324","https://openalex.org/W3202188231","https://openalex.org/W3214752899","https://openalex.org/W4287662527","https://openalex.org/W4294646197","https://openalex.org/W6631190155","https://openalex.org/W6635862820","https://openalex.org/W6638319203","https://openalex.org/W6681968150","https://openalex.org/W6714477741","https://openalex.org/W6717367658","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6734265508","https://openalex.org/W6735236233","https://openalex.org/W6735618850","https://openalex.org/W6735961515","https://openalex.org/W6736057607","https://openalex.org/W6742288159","https://openalex.org/W6743661861","https://openalex.org/W6747943641","https://openalex.org/W6748136086","https://openalex.org/W6748284727","https://openalex.org/W6748331328","https://openalex.org/W6749327742","https://openalex.org/W6750254146","https://openalex.org/W6751281049","https://openalex.org/W6751797489","https://openalex.org/W6751959828","https://openalex.org/W6752232076","https://openalex.org/W6753311412","https://openalex.org/W6755365793","https://openalex.org/W6758126075","https://openalex.org/W6758611463","https://openalex.org/W6759172331","https://openalex.org/W6759546789","https://openalex.org/W6760210782","https://openalex.org/W6760378562","https://openalex.org/W6761057525","https://openalex.org/W6762937607","https://openalex.org/W6763049584","https://openalex.org/W6763752302","https://openalex.org/W6764592398","https://openalex.org/W6767291801","https://openalex.org/W6767331726","https://openalex.org/W6767500435","https://openalex.org/W6767599400","https://openalex.org/W6768532476","https://openalex.org/W6771260093","https://openalex.org/W6771326545","https://openalex.org/W6780975210","https://openalex.org/W6782534648","https://openalex.org/W6782868315","https://openalex.org/W6783529969","https://openalex.org/W6783596713","https://openalex.org/W6784924269","https://openalex.org/W6787972765","https://openalex.org/W6790291204","https://openalex.org/W6797636097","https://openalex.org/W6840530952"],"related_works":["https://openalex.org/W3097663225","https://openalex.org/W98577079","https://openalex.org/W4301772239","https://openalex.org/W2948164010","https://openalex.org/W4297800546","https://openalex.org/W2804529069","https://openalex.org/W4312566746","https://openalex.org/W2963306862","https://openalex.org/W4283332751","https://openalex.org/W4386230745"],"abstract_inverted_index":{"The":[0,126],"objective":[1],"of":[2,74,182],"few-shot":[3,154,188,191],"learning":[4,120,131,155],"is":[5,140,174],"to":[6,13,45,176],"design":[7],"a":[8,14,39,46,77,84,92,108,132],"system":[9],"that":[10,98,111,130,145],"can":[11,112,165],"adapt":[12],"given":[15,118],"task":[16,47],"with":[17,163],"only":[18],"few":[19],"examples":[20],"while":[21],"achieving":[22],"generalization.":[23],"Model-agnostic":[24],"meta-learning":[25],"(MAML),":[26],"which":[27],"has":[28,54,146],"recently":[29],"gained":[30],"the":[31,101,141,152,170,179],"popularity":[32],"for":[33,42,76,116,137],"its":[34,52],"simplicity":[35],"and":[36,122,196],"flexibility,":[37],"learns":[38],"good":[40,133],"initialization":[41,162],"fast":[43,86,102,138,158],"adaptation":[44,87,103,139,159],"under":[48],"few-data":[49],"regime.":[50],"However,":[51],"performance":[53],"been":[55],"relatively":[56,148],"limited":[57],"especially":[58],"when":[59],"novel":[60],"tasks":[61,65],"are":[62],"different":[63],"from":[64,160],"previously":[66],"seen":[67],"during":[68],"training.":[69],"In":[70],"this":[71],"work,":[72],"instead":[73],"searching":[75],"better":[78,85],"initialization,":[79],"we":[80,90,106],"focus":[81],"on":[82],"designing":[83],"process.":[88,104],"Consequently,":[89],"propose":[91],"new":[93],"task-adaptive":[94],"weight":[95,123,134],"update":[96,135],"rule":[97,136,173],"greatly":[99],"enhances":[100],"Specifically,":[105],"introduce":[107],"small":[109],"meta-network":[110],"generate":[113],"per-step":[114],"hyperparameters":[115],"each":[117],"task:":[119],"rate":[121],"decay":[124],"coefficients.":[125],"experimental":[127],"results":[128],"validate":[129],"equally":[142],"important":[143],"component":[144],"drawn":[147],"less":[149],"attention":[150],"in":[151],"recent":[153],"approaches.":[156],"Surprisingly,":[157],"random":[161],"ALFA":[164],"already":[166],"outperform":[167],"MAML.":[168],"Furthermore,":[169],"proposed":[171],"weight-update":[172],"shown":[175],"consistently":[177],"improve":[178],"task-adaptation":[180],"capability":[181],"MAML":[183],"across":[184],"diverse":[185],"problem":[186],"domains:":[187],"classification,":[189,192],"cross-domain":[190],"regression,":[193],"visual":[194],"tracking,":[195],"video":[197],"frame":[198],"interpolation.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
