{"id":"https://openalex.org/W4387067966","doi":"https://doi.org/10.1109/tpami.2023.3319517","title":"Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning","display_name":"Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning","publication_year":2023,"publication_date":"2023-09-26","ids":{"openalex":"https://openalex.org/W4387067966","doi":"https://doi.org/10.1109/tpami.2023.3319517","pmid":"https://pubmed.ncbi.nlm.nih.gov/37751343"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3319517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3319517","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/A5101674033","display_name":"Yang Shu","orcid":"https://orcid.org/0000-0002-9009-2775"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Shu","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010800424","display_name":"Zhangjie Cao","orcid":"https://orcid.org/0000-0001-5098-2194"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangjie Cao","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102944495","display_name":"Jinghan Gao","orcid":"https://orcid.org/0009-0002-9370-2732"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghan Gao","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373517","display_name":"Jianmin Wang","orcid":"https://orcid.org/0000-0001-6841-7943"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Wang","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019241553","display_name":"Mingsheng Long","orcid":"https://orcid.org/0000-0001-9421-463X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsheng Long","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101674033"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.5657,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86574361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"45","issue":"12","first_page":"15275","last_page":"15291"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9957000017166138,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9824000000953674,"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/computer-science","display_name":"Computer science","score":0.8432046175003052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6447114944458008},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6089320182800293},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5848904848098755},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5086527466773987},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.462897926568985},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4180550277233124},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41770148277282715},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.37750592827796936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8432046175003052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6447114944458008},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6089320182800293},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5848904848098755},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5086527466773987},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.462897926568985},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4180550277233124},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41770148277282715},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.37750592827796936},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3319517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3319517","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:37751343","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37751343","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/G1764920047","display_name":null,"funder_award_id":"62022050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5673503244","display_name":null,"funder_award_id":"Z201100006820041","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G7091651887","display_name":null,"funder_award_id":"62021002","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/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":152,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W99485931","https://openalex.org/W1522301498","https://openalex.org/W2089217417","https://openalex.org/W2115733720","https://openalex.org/W2117539524","https://openalex.org/W2119717200","https://openalex.org/W2123399796","https://openalex.org/W2126151240","https://openalex.org/W2138011018","https://openalex.org/W2140804329","https://openalex.org/W2155027007","https://openalex.org/W2158782408","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2257979135","https://openalex.org/W2342662072","https://openalex.org/W2472819217","https://openalex.org/W2578206533","https://openalex.org/W2601322194","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2625674597","https://openalex.org/W2732026016","https://openalex.org/W2742093937","https://openalex.org/W2753160622","https://openalex.org/W2755546070","https://openalex.org/W2786398923","https://openalex.org/W2786462443","https://openalex.org/W2787387965","https://openalex.org/W2787501667","https://openalex.org/W2791172704","https://openalex.org/W2796346823","https://openalex.org/W2797977484","https://openalex.org/W2803767077","https://openalex.org/W2877093712","https://openalex.org/W2892490014","https://openalex.org/W2896457183","https://openalex.org/W2910745941","https://openalex.org/W2919115771","https://openalex.org/W2946757877","https://openalex.org/W2950763986","https://openalex.org/W2962723986","https://openalex.org/W2962799101","https://openalex.org/W2963070905","https://openalex.org/W2963161674","https://openalex.org/W2963341924","https://openalex.org/W2963580001","https://openalex.org/W2963741406","https://openalex.org/W2963775850","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W2964112702","https://openalex.org/W2964186069","https://openalex.org/W2964206659","https://openalex.org/W2971339032","https://openalex.org/W2980347982","https://openalex.org/W2988205463","https://openalex.org/W2991391304","https://openalex.org/W2995253937","https://openalex.org/W3001411605","https://openalex.org/W3010436005","https://openalex.org/W3012473455","https://openalex.org/W3034312118","https://openalex.org/W3034587791","https://openalex.org/W3034942609","https://openalex.org/W3036139671","https://openalex.org/W3091905774","https://openalex.org/W3092742756","https://openalex.org/W3096805028","https://openalex.org/W3097217077","https://openalex.org/W3104410689","https://openalex.org/W3107141709","https://openalex.org/W3108975329","https://openalex.org/W3110608229","https://openalex.org/W3126833157","https://openalex.org/W3142729297","https://openalex.org/W3166052165","https://openalex.org/W3168442901","https://openalex.org/W3170697419","https://openalex.org/W3170969988","https://openalex.org/W3191738967","https://openalex.org/W3195577433","https://openalex.org/W3216656735","https://openalex.org/W4287671529","https://openalex.org/W4287900772","https://openalex.org/W4288322074","https://openalex.org/W4288593364","https://openalex.org/W4292779060","https://openalex.org/W4293412117","https://openalex.org/W4297797918","https://openalex.org/W4300860215","https://openalex.org/W4300971732","https://openalex.org/W4320014598","https://openalex.org/W4383112908","https://openalex.org/W6631190155","https://openalex.org/W6678977525","https://openalex.org/W6681968150","https://openalex.org/W6683204974","https://openalex.org/W6704571135","https://openalex.org/W6717367658","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6729433768","https://openalex.org/W6731982132","https://openalex.org/W6735236233","https://openalex.org/W6735944222","https://openalex.org/W6736057607","https://openalex.org/W6742288159","https://openalex.org/W6743661861","https://openalex.org/W6744181227","https://openalex.org/W6744935223","https://openalex.org/W6746260573","https://openalex.org/W6747943641","https://openalex.org/W6748136086","https://openalex.org/W6748275755","https://openalex.org/W6748317118","https://openalex.org/W6749327742","https://openalex.org/W6751281049","https://openalex.org/W6751869817","https://openalex.org/W6752232076","https://openalex.org/W6753311412","https://openalex.org/W6754878628","https://openalex.org/W6758126075","https://openalex.org/W6758130285","https://openalex.org/W6758314753","https://openalex.org/W6760378562","https://openalex.org/W6763049584","https://openalex.org/W6763315676","https://openalex.org/W6764592398","https://openalex.org/W6767101815","https://openalex.org/W6767471572","https://openalex.org/W6772329248","https://openalex.org/W6772715161","https://openalex.org/W6774333519","https://openalex.org/W6778883912","https://openalex.org/W6780012728","https://openalex.org/W6780975210","https://openalex.org/W6783596713","https://openalex.org/W6784057640","https://openalex.org/W6786366959","https://openalex.org/W6786672870","https://openalex.org/W6791456849","https://openalex.org/W6792690848","https://openalex.org/W6796367035","https://openalex.org/W6796791985","https://openalex.org/W6796971187","https://openalex.org/W6797394732","https://openalex.org/W6800751262","https://openalex.org/W6810198824","https://openalex.org/W6840720034","https://openalex.org/W6991064601"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W4375928479","https://openalex.org/W3131673289","https://openalex.org/W3198847674","https://openalex.org/W3103940333"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1,183],"aims":[2],"to":[3,60,150],"fast":[4],"adapt":[5],"a":[6,10,74,127,147,176],"deep":[7,19],"model":[8],"from":[9],"few":[11],"examples.":[12],"While":[13],"pre-training":[14,28,63,89,133],"and":[15,29,36,51,64,90,97,134,162,172,181],"meta-training":[16,30,65,135],"can":[17],"create":[18],"models":[20],"powerful":[21],"for":[22,66,88,93,137],"few-shot":[23,68],"generalization,":[24],"we":[25],"find":[26],"that":[27,157],"focus":[31],"respectively":[32],"on":[33,131,169],"cross-domain":[34,173],"transferability":[35,96,99],"cross-task":[37,171],"transferability,":[38],"which":[39,125],"restricts":[40],"their":[41,109],"data":[42],"efficiency":[43],"in":[44,175],"the":[45,57,79,104,112,123,132,165],"entangled":[46],"settings":[47,174],"of":[48,178],"domain":[49,95],"shift":[50],"task":[52,98],"shift.":[53],"We":[54],"thus":[55],"propose":[56],"Omni-Training":[58,145],"framework":[59,149,160],"seamlessly":[61],"bridge":[62],"data-efficient":[67],"learning.":[69],"Our":[70,119],"first":[71],"contribution":[72,121],"is":[73,122,146],"tri-flow":[75],"Omni-Net":[76,83,101],"architecture.":[77],"Besides":[78],"joint":[80],"representation":[81],"flow,":[82],"introduces":[84,126],"two":[85],"parallel":[86,105],"flows":[87,106],"meta-training,":[91],"responsible":[92],"improving":[94],"respectively.":[100],"further":[102],"coordinates":[103],"by":[107],"routing":[108],"representations":[110],"via":[111],"joint-flow,":[113],"enabling":[114],"knowledge":[115,139],"transfer":[116,140],"across":[117],"flows.":[118],"second":[120],"Omni-Loss,":[124],"self-distillation":[128],"strategy":[129],"separately":[130],"objectives":[136],"boosting":[138],"throughout":[141],"different":[142],"training":[143],"stages.":[144],"general":[148],"accommodate":[151],"many":[152],"existing":[153],"algorithms.":[154],"Evaluations":[155],"justify":[156],"our":[158],"single":[159],"consistently":[161],"clearly":[163],"outperforms":[164],"individual":[166],"state-of-the-art":[167],"methods":[168],"both":[170],"variety":[177],"classification,":[179],"regression":[180],"reinforcement":[182],"problems.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}