{"id":"https://openalex.org/W3198843179","doi":"https://doi.org/10.14778/3476249.3476269","title":"LANCET","display_name":"LANCET","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3198843179","doi":"https://doi.org/10.14778/3476249.3476269","mag":"3198843179"},"language":"en","primary_location":{"id":"doi:10.14778/3476249.3476269","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3476249.3476269","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/1721.1/143771","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014608800","display_name":"Huayi Zhang","orcid":"https://orcid.org/0009-0004-7874-8542"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huayi Zhang","raw_affiliation_strings":["Worcester Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049926126","display_name":"Lei Cao","orcid":"https://orcid.org/0000-0001-9909-8607"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Cao","raw_affiliation_strings":["Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037742794","display_name":"Samuel Madden","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Madden","raw_affiliation_strings":["Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008269094","display_name":"Elke A. Rundensteiner","orcid":"https://orcid.org/0000-0001-5375-9254"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elke Rundensteiner","raw_affiliation_strings":["Worcester Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014608800"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":0.5599,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73530178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"14","issue":"11","first_page":"2154","last_page":"2166"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9995999932289124,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9987000226974487,"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":0.770826518535614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.59601229429245},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.548528254032135},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5417642593383789},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5012388229370117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4920201003551483},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.4816831052303314},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4247099757194519},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3479312062263489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.339063823223114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.083859384059906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.770826518535614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.59601229429245},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.548528254032135},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5417642593383789},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5012388229370117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4920201003551483},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.4816831052303314},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4247099757194519},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3479312062263489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.339063823223114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.083859384059906},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/3476249.3476269","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3476249.3476269","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/143771","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/143771","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"VLDB Endowment","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/143771","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/143771","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"VLDB Endowment","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W1731081199","https://openalex.org/W2021840029","https://openalex.org/W2025768430","https://openalex.org/W2034368206","https://openalex.org/W2104094955","https://openalex.org/W2108598243","https://openalex.org/W2173520492","https://openalex.org/W2302255633","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2335728318","https://openalex.org/W2406856503","https://openalex.org/W2426031434","https://openalex.org/W2432004435","https://openalex.org/W2471138382","https://openalex.org/W2557283755","https://openalex.org/W2566079294","https://openalex.org/W2593414223","https://openalex.org/W2619371851","https://openalex.org/W2753738274","https://openalex.org/W2769041395","https://openalex.org/W2785325870","https://openalex.org/W2911424454","https://openalex.org/W2927805125","https://openalex.org/W2944173897","https://openalex.org/W2949416428","https://openalex.org/W2956371155","https://openalex.org/W2959716049","https://openalex.org/W2963826681","https://openalex.org/W2963902936","https://openalex.org/W2964059111","https://openalex.org/W2964159205","https://openalex.org/W2971225399","https://openalex.org/W2986514296","https://openalex.org/W2998115938","https://openalex.org/W3001197829","https://openalex.org/W3005680577","https://openalex.org/W3030888939","https://openalex.org/W3105946790","https://openalex.org/W3118608800","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2985746494","https://openalex.org/W4206042385","https://openalex.org/W2511384863","https://openalex.org/W2096089271","https://openalex.org/W2923628599","https://openalex.org/W2051519658","https://openalex.org/W2002304499","https://openalex.org/W2994787386","https://openalex.org/W3122341285","https://openalex.org/W1521133866"],"abstract_inverted_index":{"Cutting-edge":[0],"machine":[1,230],"learning":[2,231],"techniques":[3,95],"often":[4],"require":[5],"millions":[6],"of":[7,26,104,219,228],"labeled":[8,139,186,210],"data":[9,166,271],"objects":[10,52,196,204],"to":[11,20,53,56,60,64,70,89,101,143,178,200,244,261,283,294],"train":[12,144],"a":[13,23,102,131,168,240,289],"robust":[14],"model.":[15],"Because":[16],"relying":[17],"on":[18,130,234,268],"humans":[19,55],"supply":[21],"such":[22],"huge":[24],"number":[25],"labels":[27,63,223],"is":[28,128,176],"rarely":[29],"practical,":[30],"automated":[31],"methods":[32,280],"for":[33,197],"label":[34,182],"generation":[35],"are":[36,76],"needed.":[37],"Unfortunately,":[38],"critical":[39],"challenges":[40,122],"in":[41,81,123,254,299],"auto-labeling":[42],"remain":[43],"unsolved,":[44],"including":[45],"the":[46,112,135,138,150,153,159,180,191,217,220,225,229,248,263,278],"following":[47],"research":[48],"questions:":[49],"(1)":[50],"which":[51,255],"ask":[54],"label,":[57],"(2)":[58],"how":[59],"automatically":[61,221],"propagate":[62],"other":[65,286],"objects,":[66],"and":[67,152,224,250,285],"(3)":[68],"when":[69],"stop":[71],"labeling.":[72],"These":[73,212],"three":[74,121],"questions":[75],"not":[77],"only":[78],"each":[79],"challenging":[80],"their":[82],"own":[83],"right,":[84],"but":[85],"they":[86],"also":[87],"correspond":[88],"tightly":[90],"interdependent":[91],"problems.":[92],"Yet":[93],"existing":[94],"provide":[96],"at":[97],"best":[98],"isolated":[99],"solutions":[100],"subset":[103],"these":[105,235],"challenges.":[106],"In":[107],"this":[108],"work,":[109],"we":[110],"propose":[111],"first":[113],"approach,":[114],"called":[115],"LANCET,":[116],"that":[117,137,202,274],"successfully":[118],"addresses":[119],"all":[120],"an":[124,145,173],"integrated":[125],"framework.":[126],"LANCET":[127,162,194,238,275],"based":[129],"theoretical":[132],"foundation":[133],"characterizing":[134],"properties":[136],"dataset":[140],"must":[141],"satisfy":[142],"effective":[146],"prediction":[147,226],"model,":[148],"namely":[149],"Covariate-shift":[151,160,249],"Continuity":[154,192,251],"conditions.":[155],"First,":[156],"guided":[157,189],"by":[158,190,288],"condition,":[161,193],"maps":[163],"raw":[164],"input":[165],"into":[167],"semantic":[169],"feature":[170],"space,":[171],"where":[172],"unlabeled":[174,203],"object":[175],"expected":[177],"share":[179],"same":[181],"with":[183],"its":[184],"near-by":[185],"neighbor.":[187],"Next,":[188],"selects":[195],"labeling,":[198],"aiming":[199],"ensure":[201],"always":[205],"have":[206],"some":[207],"sufficiently":[208],"close":[209],"neighbors.":[211],"two":[213],"strategies":[214],"jointly":[215],"maximize":[216],"accuracy":[218,227],"produced":[222],"models":[232],"trained":[233],"labels.":[236],"Lastly,":[237],"uses":[239],"distribution":[241],"matching":[242],"network":[243],"verify":[245],"whether":[246],"both":[247],"conditions":[252],"hold,":[253],"case":[256],"it":[257],"would":[258],"be":[259],"safe":[260],"terminate":[262],"labeling":[264],"process.":[265],"Our":[266],"experiments":[267],"diverse":[269],"public":[270],"sets":[272],"demonstrate":[273],"consistently":[276],"outperforms":[277],"state-of-the-art":[279],"from":[281],"Snuba":[282],"GOGGLES":[284],"baselines":[287],"large":[290],"margin":[291],"-":[292],"up":[293],"30":[295],"percentage":[296],"points":[297],"increase":[298],"accuracy.":[300]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-09-13T00:00:00"}