{"id":"https://openalex.org/W4387986678","doi":"https://doi.org/10.1109/tpami.2023.3328184","title":"Robust Meta-Representation Learning via Global Label Inference and Classification","display_name":"Robust Meta-Representation Learning via Global Label Inference and Classification","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4387986678","doi":"https://doi.org/10.1109/tpami.2023.3328184","pmid":"https://pubmed.ncbi.nlm.nih.gov/37889819"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3328184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3328184","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10298810.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10298810.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063712591","display_name":"Ruohan Wang","orcid":"https://orcid.org/0000-0002-5208-4555"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Ruohan Wang","raw_affiliation_strings":["Institute for Infocomm Research (I<sup>2</sup>R), Agency for Science, Technology and Research (A*STAR), Singapore","Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I<sup>2</sup>R), Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063654135","display_name":"Isak Falk","orcid":"https://orcid.org/0000-0002-6616-0045"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB","IT"],"is_corresponding":false,"raw_author_name":"John Isak Texas Falk","raw_affiliation_strings":["Centre for Artificial Intelligence, Computer Science Department, University College London, London, U.K","CSML, Isitituto Italiano di Tecnologia, Genova, Italy","Centre for Artificial Intelligence, Computer Science Department, University College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, Computer Science Department, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"CSML, Isitituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Centre for Artificial Intelligence, Computer Science Department, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034260726","display_name":"Massimiliano Pontil","orcid":"https://orcid.org/0000-0001-9415-098X"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB","IT"],"is_corresponding":false,"raw_author_name":"Massimiliano Pontil","raw_affiliation_strings":["Centre for Artificial Intelligence, Computer Science Department, University College London, London, U.K","CSML, Isitituto Italiano di Tecnologia, Genova, Italy","Centre for Artificial Intelligence, Computer Science Department, University College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, Computer Science Department, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"CSML, Isitituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Centre for Artificial Intelligence, Computer Science Department, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048960946","display_name":"Carlo Ciliberto","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Carlo Ciliberto","raw_affiliation_strings":["Centre for Artificial Intelligence, Computer Science Department, University College London, London, U.K","Centre for Artificial Intelligence, Computer Science Department, University College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, Computer Science Department, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Centre for Artificial Intelligence, Computer Science Department, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063712591"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":0.8641,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7939275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"46","issue":"4","first_page":"1996","last_page":"2010"},"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":0.9991000294685364,"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":0.9991000294685364,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.988099992275238,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9520999789237976,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8134819269180298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7299875020980835},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7215393781661987},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6954309344291687},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.688372015953064},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6759074926376343},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6724064946174622},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.614383339881897},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5612469911575317},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5396407246589661},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5363121628761292},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48008471727371216},{"id":"https://openalex.org/keywords/learning-to-learn","display_name":"Learning to learn","score":0.4766305685043335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134819269180298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7299875020980835},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7215393781661987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6954309344291687},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.688372015953064},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6759074926376343},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6724064946174622},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.614383339881897},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5612469911575317},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5396407246589661},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5363121628761292},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48008471727371216},{"id":"https://openalex.org/C2986563244","wikidata":"https://www.wikidata.org/wiki/Q6822310","display_name":"Learning to learn","level":2,"score":0.4766305685043335},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3328184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3328184","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10298810.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:37889819","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37889819","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":{"id":"doi:10.1109/tpami.2023.3328184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3328184","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10298810.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3562914802","display_name":null,"funder_award_id":"101070617","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4496087289","display_name":null,"funder_award_id":"SPREM RGS-R1-201149","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G6251754251","display_name":null,"funder_award_id":"951847","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387986678.pdf","grobid_xml":"https://content.openalex.org/works/W4387986678.grobid-xml"},"referenced_works_count":130,"referenced_works":["https://openalex.org/W607505555","https://openalex.org/W1846799578","https://openalex.org/W1861492603","https://openalex.org/W2002427601","https://openalex.org/W2011301426","https://openalex.org/W2047643928","https://openalex.org/W2101234009","https://openalex.org/W2115733720","https://openalex.org/W2117539524","https://openalex.org/W2145339207","https://openalex.org/W2150593711","https://openalex.org/W2163605009","https://openalex.org/W2194321275","https://openalex.org/W2194775991","https://openalex.org/W2533598788","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2618530766","https://openalex.org/W2742093937","https://openalex.org/W2766447205","https://openalex.org/W2785325870","https://openalex.org/W2786672974","https://openalex.org/W2787035179","https://openalex.org/W2796346823","https://openalex.org/W2798405286","https://openalex.org/W2889326414","https://openalex.org/W2899771611","https://openalex.org/W2908510526","https://openalex.org/W2911248322","https://openalex.org/W2946757877","https://openalex.org/W2952634764","https://openalex.org/W2962723986","https://openalex.org/W2963038205","https://openalex.org/W2963070905","https://openalex.org/W2963341924","https://openalex.org/W2963741406","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W2964112702","https://openalex.org/W2964206659","https://openalex.org/W2982049331","https://openalex.org/W2995049146","https://openalex.org/W2995253937","https://openalex.org/W2997591727","https://openalex.org/W3002740131","https://openalex.org/W3009081299","https://openalex.org/W3012255272","https://openalex.org/W3012473455","https://openalex.org/W3034312118","https://openalex.org/W3034587791","https://openalex.org/W3035965352","https://openalex.org/W3036139671","https://openalex.org/W3093202455","https://openalex.org/W3097217077","https://openalex.org/W3099878876","https://openalex.org/W3108975329","https://openalex.org/W3110214837","https://openalex.org/W3120402410","https://openalex.org/W3122520870","https://openalex.org/W3136670918","https://openalex.org/W3163842339","https://openalex.org/W3166396011","https://openalex.org/W3167673010","https://openalex.org/W3176341011","https://openalex.org/W3193207068","https://openalex.org/W3205249428","https://openalex.org/W4211208325","https://openalex.org/W4225323055","https://openalex.org/W4236362309","https://openalex.org/W4241414120","https://openalex.org/W4283067662","https://openalex.org/W4283206274","https://openalex.org/W4286846023","https://openalex.org/W4287203292","https://openalex.org/W4287250563","https://openalex.org/W4287827961","https://openalex.org/W4287867549","https://openalex.org/W4288322074","https://openalex.org/W4289117725","https://openalex.org/W4292779060","https://openalex.org/W4294646197","https://openalex.org/W4297797728","https://openalex.org/W4297800546","https://openalex.org/W4297813345","https://openalex.org/W4301496368","https://openalex.org/W4312235843","https://openalex.org/W4313010934","https://openalex.org/W4313167301","https://openalex.org/W4320013936","https://openalex.org/W4320014598","https://openalex.org/W4394642966","https://openalex.org/W6600609147","https://openalex.org/W6638677478","https://openalex.org/W6717697761","https://openalex.org/W6734122017","https://openalex.org/W6736057607","https://openalex.org/W6742288159","https://openalex.org/W6747899497","https://openalex.org/W6748284727","https://openalex.org/W6750254146","https://openalex.org/W6751281049","https://openalex.org/W6751797489","https://openalex.org/W6752232076","https://openalex.org/W6753311412","https://openalex.org/W6754484989","https://openalex.org/W6757817989","https://openalex.org/W6758126075","https://openalex.org/W6758611463","https://openalex.org/W6760378562","https://openalex.org/W6763049584","https://openalex.org/W6764592398","https://openalex.org/W6764998394","https://openalex.org/W6767291801","https://openalex.org/W6768532476","https://openalex.org/W6773297391","https://openalex.org/W6774137365","https://openalex.org/W6774542862","https://openalex.org/W6778883912","https://openalex.org/W6780012728","https://openalex.org/W6782666931","https://openalex.org/W6784743763","https://openalex.org/W6788840927","https://openalex.org/W6791353385","https://openalex.org/W6793285144","https://openalex.org/W6794559225","https://openalex.org/W6795508594","https://openalex.org/W6800058990","https://openalex.org/W6810198824","https://openalex.org/W6810334672","https://openalex.org/W6838779861"],"related_works":["https://openalex.org/W4283332751","https://openalex.org/W1777147693","https://openalex.org/W3209209891","https://openalex.org/W3207659901","https://openalex.org/W4289541778","https://openalex.org/W3212845161","https://openalex.org/W4286892044","https://openalex.org/W3193207068","https://openalex.org/W4287027132","https://openalex.org/W4286892681"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1],"(FSL)":[2],"is":[3,40,178],"a":[4,24,52,111,160,168],"central":[5],"problem":[6],"in":[7,66,165],"meta-learning,":[8],"where":[9,172],"learners":[10],"must":[11],"efficiently":[12],"learn":[13],"from":[14],"few":[15],"labeled":[16],"examples.":[17],"Within":[18],"FSL,":[19],"feature":[20],"pre-training":[21,36,50,82,88,130,146],"has":[22],"become":[23],"popular":[25],"strategy":[26],"to":[27,37,98,128],"significantly":[28],"improve":[29],"generalization":[30,38],"performance.":[31],"However,":[32],"the":[33,73,79,95,151,173],"contribution":[34],"of":[35,55,163,175],"performance":[39],"often":[41],"overlooked":[42],"and":[43,83,93,101,180],"understudied,":[44],"with":[45],"limited":[46,179],"theoretical":[47,96],"understanding.":[48],"Further,":[49],"requires":[51],"consistent":[53],"set":[54],"global":[56,121,135],"labels":[57,122,136,181],"shared":[58],"across":[59,123,159],"training":[60,176],"tasks,":[61],"which":[62],"may":[63],"be":[64],"unavailable":[65,138],"practice.":[67],"In":[68],"this":[69],"work,":[70],"we":[71,105,142],"address":[72],"above":[74],"issues":[75],"by":[76,119],"first":[77],"showing":[78],"connection":[80],"between":[81],"meta-learning.":[84],"We":[85],"discuss":[86],"why":[87],"yields":[89],"more":[90,169],"robust":[91],"meta-representation":[92],"connect":[94],"analysis":[97],"existing":[99,157],"works":[100],"empirical":[102],"results.":[103],"Second,":[104],"introduce":[106,143],"Meta":[107],"Label":[108],"Learning":[109],"(MeLa),":[110],"novel":[112],"meta-learning":[113],"algorithm":[114],"that":[115,148],"learns":[116],"task":[117],"relations":[118],"inferring":[120],"tasks.":[124],"This":[125],"allows":[126],"us":[127],"exploit":[129],"for":[131],"FSL":[132],"even":[133],"when":[134],"are":[137,182],"or":[139],"ill-defined.":[140],"Lastly,":[141],"an":[144],"augmented":[145],"procedure":[147],"further":[149],"improves":[150],"learned":[152],"meta-representation.":[153],"Empirically,":[154],"MeLa":[155],"outperforms":[156],"methods":[158],"diverse":[161],"range":[162],"benchmarks,":[164],"particular":[166],"under":[167],"challenging":[170],"setting":[171],"number":[174],"tasks":[177],"task-specific.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}