{"id":"https://openalex.org/W3187995324","doi":"https://doi.org/10.1109/tpami.2021.3102098","title":"Learning to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation","display_name":"Learning to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation","publication_year":2021,"publication_date":"2021-08-04","ids":{"openalex":"https://openalex.org/W3187995324","doi":"https://doi.org/10.1109/tpami.2021.3102098","mag":"3187995324","pmid":"https://pubmed.ncbi.nlm.nih.gov/34347593"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3102098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3102098","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"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungyong Baik","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Automation and Systems Research Institute (ASRI), Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5702-4618","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute (ASRI), Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045781110","display_name":"Junghoon Oh","orcid":"https://orcid.org/0000-0002-6194-8044"},"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":"Junghoon Oh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Automation and Systems Research Institute (ASRI), Seoul National University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute (ASRI), Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112458006","display_name":"Seokil Hong","orcid":null},"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":"Seokil Hong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Automation and Systems Research Institute (ASRI), Seoul National University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute (ASRI), 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":["Department of Electrical and Computer Engineering, Automation and Systems Research Institute (ASRI), Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7210-1036","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute (ASRI), Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":1.4337,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.84946619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"44","issue":"11","first_page":"7718","last_page":"7730"},"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":0.9991999864578247,"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":0.9991999864578247,"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":0.9886000156402588,"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":0.9642999768257141,"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":0.8295861482620239},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.7840754985809326},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7736929655075073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7231863141059875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6417780518531799},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.591966986656189},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5915089249610901},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5747309327125549},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4824943542480469},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.45827221870422363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8295861482620239},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.7840754985809326},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7736929655075073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7231863141059875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6417780518531799},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.591966986656189},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5915089249610901},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5747309327125549},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4824943542480469},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.45827221870422363},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2021.3102098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3102098","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:34347593","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34347593","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1797268635","https://openalex.org/W1849277567","https://openalex.org/W1857884451","https://openalex.org/W2062118960","https://openalex.org/W2089217417","https://openalex.org/W2117539524","https://openalex.org/W2130026429","https://openalex.org/W2137825550","https://openalex.org/W2158592639","https://openalex.org/W2158782408","https://openalex.org/W2186330282","https://openalex.org/W2740685955","https://openalex.org/W2742093937","https://openalex.org/W2915935370","https://openalex.org/W2946757877","https://openalex.org/W2962799101","https://openalex.org/W2963070905","https://openalex.org/W2963499285","https://openalex.org/W2964105864","https://openalex.org/W3007769740","https://openalex.org/W3034354010","https://openalex.org/W3107666194","https://openalex.org/W3118608800","https://openalex.org/W3176049064","https://openalex.org/W4294646197","https://openalex.org/W6635862820","https://openalex.org/W6637373629","https://openalex.org/W6638319203","https://openalex.org/W6681968150","https://openalex.org/W6704571135","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6742288159","https://openalex.org/W6743661861","https://openalex.org/W6747381837","https://openalex.org/W6747943641","https://openalex.org/W6748136086","https://openalex.org/W6748331328","https://openalex.org/W6749327742","https://openalex.org/W6750254146","https://openalex.org/W6751281049","https://openalex.org/W6752232076","https://openalex.org/W6753311412","https://openalex.org/W6755310813","https://openalex.org/W6755365793","https://openalex.org/W6758126075","https://openalex.org/W6758611463","https://openalex.org/W6759172331","https://openalex.org/W6760378562","https://openalex.org/W6763049584","https://openalex.org/W6767291801","https://openalex.org/W6767500435","https://openalex.org/W6768532476","https://openalex.org/W6771326545","https://openalex.org/W6771876938","https://openalex.org/W6783566936","https://openalex.org/W6783596713","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3130669838","https://openalex.org/W2785397462","https://openalex.org/W4294873804","https://openalex.org/W4383109125","https://openalex.org/W4283332751","https://openalex.org/W4281862540","https://openalex.org/W2891227010","https://openalex.org/W1488960379","https://openalex.org/W3004751640","https://openalex.org/W4319075079"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1,23,26],"is":[2,12,47,104],"an":[3,77],"emerging":[4],"yet":[5],"challenging":[6],"problem":[7],"in":[8],"which":[9,52],"the":[10,25,42,48,86,100,111,116,128,146,149,172,177,180],"goal":[11],"to":[13,36,71,81,106,131,165],"achieve":[14],"generalization":[15],"from":[16,64],"only":[17,109],"few":[18],"examples.":[19],"Meta-learning":[20],"tackles":[21],"few-shot":[22,187,190],"via":[24],"of":[27,41,102,118,148,179],"prior":[28,54,151],"knowledge":[29,55,152],"shared":[30,61],"across":[31,184],"tasks":[32,84,112],"and":[33,85,157,195],"using":[34],"it":[35],"learn":[37],"new":[38],"tasks.":[39,73],"One":[40],"most":[43],"representative":[44],"meta-learning":[45,50],"algorithms":[46],"model-agnostic":[49],"(MAML),":[51],"formulates":[53],"as":[56],"a":[57,60,66,119,154],"common":[58],"initialization,":[59],"starting":[62],"point":[63],"where":[65],"learner":[67],"can":[68,79],"quickly":[69],"adapt":[70],"unseen":[72],"However,":[74],"forcibly":[75],"sharing":[76],"initialization":[78,130],"lead":[80],"conflicts":[82],"among":[83,110,115],"compromised":[87,129,150],"(undesired":[88],"by":[89],"tasks)":[90],"location":[91],"on":[92,127,136],"optimization":[93],"landscape,":[94],"thereby":[95],"hindering":[96],"task":[97,137,156],"adaptation.":[98,138],"Furthermore,":[99],"degree":[101],"conflict":[103],"observed":[105],"vary":[107],"not":[108],"but":[113],"also":[114],"layers":[117],"neural":[120],"network.":[121],"Thus,":[122],"we":[123,160],"propose":[124],"task-and-layer-wise":[125],"attenuation":[126,140],"reduce":[132],"its":[133],"adverse":[134],"influence":[135,147],"As":[139],"dynamically":[141],"controls":[142],"(or":[143],"selectively":[144],"forgets)":[145],"for":[153],"given":[155],"each":[158],"layer,":[159],"name":[161],"our":[162],"method":[163,174],"Learn":[164],"Forget":[166],"(L2F).":[167],"Experimental":[168],"results":[169],"demonstrate":[170],"that":[171],"proposed":[173],"greatly":[175],"improves":[176],"performance":[178],"state-of-the-art":[181],"MAML-based":[182],"frameworks":[183],"diverse":[185],"domains:":[186],"classification,":[188,191],"cross-domain":[189],"regression,":[192],"reinforcement":[193],"learning,":[194],"visual":[196],"tracking.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
