{"id":"https://openalex.org/W3210902455","doi":"https://doi.org/10.1109/tpami.2022.3147798","title":"PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors","display_name":"PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors","publication_year":2022,"publication_date":"2022-02-01","ids":{"openalex":"https://openalex.org/W3210902455","doi":"https://doi.org/10.1109/tpami.2022.3147798","mag":"3210902455","pmid":"https://pubmed.ncbi.nlm.nih.gov/35104212"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3147798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3147798","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":null,"display_name":"Cuong Nguyen","orcid":"https://orcid.org/0000-0003-2672-6291"},"institutions":[{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Cuong Nguyen","raw_affiliation_strings":["Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2672-6291","affiliations":[{"raw_affiliation_string":"Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Thanh-Toan Do","orcid":"https://orcid.org/0000-0002-6249-0848"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thanh-Toan Do","raw_affiliation_strings":["Department of Data Science and AI, Faculty of Information Technology, Monash University, Clayton, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6249-0848","affiliations":[{"raw_affiliation_string":"Department of Data Science and AI, Faculty of Information Technology, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":null,"display_name":"Gustavo Carneiro","orcid":"https://orcid.org/0000-0002-5571-6220"},"institutions":[{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gustavo Carneiro","raw_affiliation_strings":["Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5571-6220","affiliations":[{"raw_affiliation_string":"Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":0.9717,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78775118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"45","issue":"1","first_page":"841","last_page":"851"},"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":0.968500018119812,"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":0.968500018119812,"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/T11448","display_name":"Face recognition and analysis","score":0.004000000189989805,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.002300000051036477,"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/covariance","display_name":"Covariance","score":0.5388000011444092},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5194000005722046},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.46970000863075256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4690999984741211},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.4108999967575073},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.383899986743927},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.37610000371932983},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.3578000068664551},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.352400004863739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100000143051147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534999966621399},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5388000011444092},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5194000005722046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48829999566078186},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4690999984741211},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.4108999967575073},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.383899986743927},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.3578000068664551},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3296000063419342},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.2953000068664551},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28700000047683716},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27219998836517334},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.26030001044273376},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2022.3147798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3147798","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:35104212","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35104212","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},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/134389","is_oa":false,"landing_page_url":"https://hdl.handle.net/2440/134389","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/tpami.2022.3147798","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3616377421","display_name":null,"funder_award_id":"FT190100525","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G3800762947","display_name":null,"funder_award_id":"CE140100016","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G790145772","display_name":null,"funder_award_id":"DP180103232","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W99485931","https://openalex.org/W114923250","https://openalex.org/W2029029543","https://openalex.org/W2060092029","https://openalex.org/W2104094955","https://openalex.org/W2117539524","https://openalex.org/W2162888803","https://openalex.org/W2194321275","https://openalex.org/W2535170036","https://openalex.org/W2913340405","https://openalex.org/W2963070905","https://openalex.org/W2964105864","https://openalex.org/W3023119660","https://openalex.org/W3163842339","https://openalex.org/W4236362309","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6677888739","https://openalex.org/W6678658103","https://openalex.org/W6681968150","https://openalex.org/W6683161958","https://openalex.org/W6690067395","https://openalex.org/W6713313022","https://openalex.org/W6717367658","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6729060624","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6739651123","https://openalex.org/W6742288159","https://openalex.org/W6743661861","https://openalex.org/W6747943641","https://openalex.org/W6748284727","https://openalex.org/W6748331328","https://openalex.org/W6749327742","https://openalex.org/W6749700008","https://openalex.org/W6750254146","https://openalex.org/W6751281049","https://openalex.org/W6751499397","https://openalex.org/W6751959828","https://openalex.org/W6753311412","https://openalex.org/W6754673040","https://openalex.org/W6754778195","https://openalex.org/W6756469835","https://openalex.org/W6757740418","https://openalex.org/W6761057525","https://openalex.org/W6762276943","https://openalex.org/W6762937607","https://openalex.org/W6763120227","https://openalex.org/W6766092863","https://openalex.org/W6766477559","https://openalex.org/W6767105546","https://openalex.org/W6780052409","https://openalex.org/W6782666931","https://openalex.org/W6784314759","https://openalex.org/W6864424756"],"related_works":[],"abstract_inverted_index":{"We":[0,41,73],"introduce":[1],"a":[2,21,44,64,69],"new":[3],"and":[4,39,86,103,105],"rigorously-formulated":[5],"PAC-Bayes":[6,18],"meta-learning":[7,26,82],"algorithm":[8,83],"that":[9,75],"solves":[10],"few-shot":[11,100],"learning.":[12],"Our":[13],"proposed":[14,81],"method":[15],"extends":[16],"the":[17,25,31,49,59,76],"framework":[19],"from":[20],"single-task":[22],"setting":[23,28],"to":[24,29,47,58],"multiple-task":[27],"upper-bound":[30],"error":[32],"evaluated":[33],"on":[34,63,96,99],"any,":[35],"even":[36],"unseen,":[37],"tasks":[38],"samples.":[40],"also":[42],"propose":[43],"generative-based":[45],"approach":[46],"estimate":[48],"posterior":[50],"of":[51],"task-specific":[52],"model":[53],"parameters":[54],"more":[55],"expressively":[56],"compared":[57],"usual":[60],"assumption":[61],"based":[62],"multivariate":[65],"normal":[66],"distribution":[67],"with":[68,79,88],"diagonal":[70],"covariance":[71],"matrix.":[72],"show":[74],"models":[77],"trained":[78],"our":[80],"are":[84],"well-calibrated":[85],"accurate,":[87],"state-of-the-art":[89],"calibration":[90],"errors":[91],"while":[92],"still":[93],"being":[94],"competitive":[95],"classification":[97,101],"results":[98],"(mini-ImageNet":[102],"tiered-ImageNet)":[104],"regression":[106],"(multi-modal":[107],"task-distribution":[108],"regression)":[109],"benchmarks.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2021-11-08T00:00:00"}
