{"id":"https://openalex.org/W4366966720","doi":"https://doi.org/10.1109/access.2023.3269751","title":"Learning From Crowds With Contrastive Representation","display_name":"Learning From Crowds With Contrastive Representation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366966720","doi":"https://doi.org/10.1109/access.2023.3269751"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3269751","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3269751","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10107377.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10107377.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103115263","display_name":"Hang Yang","orcid":"https://orcid.org/0000-0001-7309-8588"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]},{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Hang Yang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China","Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, CANADA","School of Information Engineering, Southwest University of Science and Technology, Mianyang, SC, P.R.C","School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, SC, P.R.C"],"raw_orcid":"https://orcid.org/0000-0001-7309-8588","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, CANADA","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"School of Information Engineering, Southwest University of Science and Technology, Mianyang, SC, P.R.C","institution_ids":["https://openalex.org/I1297991670"]},{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, SC, P.R.C","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064977503","display_name":"Xunbo Li","orcid":"https://orcid.org/0009-0002-3727-4630"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunbo Li","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China","School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, SC, P.R.C"],"raw_orcid":"https://orcid.org/0009-0002-3727-4630","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, SC, P.R.C","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada","Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, CANADA"],"raw_orcid":"https://orcid.org/0000-0002-9335-9930","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, CANADA","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4557,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72830039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"40182","last_page":"40191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9930999875068665,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.980400025844574,"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/crowds","display_name":"Crowds","score":0.7848817110061646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7460049390792847},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.509196937084198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4492468237876892},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3599138855934143},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.19214242696762085},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.070802241563797}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.7848817110061646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7460049390792847},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.509196937084198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4492468237876892},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3599138855934143},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.19214242696762085},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.070802241563797},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3269751","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3269751","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10107377.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3640dcd905eb4c4e8c2ed30a0b3a959b","is_oa":true,"landing_page_url":"https://doaj.org/article/3640dcd905eb4c4e8c2ed30a0b3a959b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 40182-40191 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3269751","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3269751","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10107377.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2186355850","display_name":null,"funder_award_id":"BS123456","funder_id":"https://openalex.org/F4320306111","funder_display_name":"U.S. Department of Commerce"},{"id":"https://openalex.org/G5515803451","display_name":null,"funder_award_id":"CSC201706070059","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320306111","display_name":"U.S. Department of Commerce","ror":"https://ror.org/04chq2495"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366966720.pdf","grobid_xml":"https://content.openalex.org/works/W4366966720.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W238662096","https://openalex.org/W1943138586","https://openalex.org/W1985690171","https://openalex.org/W2106568252","https://openalex.org/W2108598243","https://openalex.org/W2110764733","https://openalex.org/W2140115545","https://openalex.org/W2141649520","https://openalex.org/W2142518823","https://openalex.org/W2181558882","https://openalex.org/W2187089797","https://openalex.org/W2339885376","https://openalex.org/W2788739741","https://openalex.org/W2811117633","https://openalex.org/W2911338114","https://openalex.org/W2942457804","https://openalex.org/W2949496942","https://openalex.org/W2963772355","https://openalex.org/W2979302305","https://openalex.org/W3005680577","https://openalex.org/W3035524453","https://openalex.org/W3083088695","https://openalex.org/W3095155674","https://openalex.org/W3101504385","https://openalex.org/W3114228236","https://openalex.org/W3121423774","https://openalex.org/W3152893301","https://openalex.org/W3153687708","https://openalex.org/W3156091046","https://openalex.org/W3164970261","https://openalex.org/W3169765801","https://openalex.org/W3172485152","https://openalex.org/W3176378696","https://openalex.org/W3192500523","https://openalex.org/W3216235189","https://openalex.org/W4214868967","https://openalex.org/W4221145305","https://openalex.org/W4221151632","https://openalex.org/W4221161761","https://openalex.org/W4224939570","https://openalex.org/W4225139517","https://openalex.org/W4226367203","https://openalex.org/W4281256703","https://openalex.org/W4283031789","https://openalex.org/W4283803055","https://openalex.org/W4284889077","https://openalex.org/W4285233909","https://openalex.org/W4287326675","https://openalex.org/W4287812705","https://openalex.org/W4293409613","https://openalex.org/W4301372783","https://openalex.org/W4306316930","https://openalex.org/W4312126637","https://openalex.org/W4312443924","https://openalex.org/W4313135270","https://openalex.org/W4379919523","https://openalex.org/W6679959949","https://openalex.org/W6680957539","https://openalex.org/W6681011923","https://openalex.org/W6685936606","https://openalex.org/W6752889970","https://openalex.org/W6758110877","https://openalex.org/W6774314701","https://openalex.org/W6776700526","https://openalex.org/W6783990618","https://openalex.org/W6791354286","https://openalex.org/W6796467477","https://openalex.org/W6797230120","https://openalex.org/W6800618395","https://openalex.org/W6810673746","https://openalex.org/W6838968391","https://openalex.org/W6853085414"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4240200267","https://openalex.org/W1511510665","https://openalex.org/W2154955495","https://openalex.org/W1524661185","https://openalex.org/W2078823605","https://openalex.org/W2500095415","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Crowdsourcing":[0],"provides":[1],"a":[2,97],"practical":[3],"approach":[4,136],"to":[5,14,67,95,113],"obtaining":[6],"annotated":[7],"data":[8],"for":[9],"data-hungry":[10],"deep":[11],"models.":[12,134],"Due":[13],"its":[15],"simplicity":[16],"and":[17,25,32,42,78,85,117,146,159],"practicality,":[18],"simultaneously":[19],"learning":[20,69],"the":[21,26,40,48,82,91,110,115,160,164,167],"annotation":[22,43],"correction":[23],"mechanism":[24],"target":[27],"classifier":[28,116],"is":[29,122,137],"widely":[30],"studied":[31],"applied.":[33],"Existing":[34],"work":[35],"has":[36,57],"improved":[37],"performance":[38],"from":[39,70],"annotator":[41,118],"process":[44,121],"modeling":[45],"perspective.":[46],"However,":[47],"instance":[49],"representation,":[50],"which":[51],"most":[52],"directly":[53],"affects":[54],"model":[55,168],"training,":[56],"been":[58],"neglected.":[59],"In":[60],"this":[61],"work,":[62],"we":[63,73,89,108],"investigate":[64],"contrastive":[65,93],"representation":[66,84],"improve":[68,156],"crowds.":[71],"Specifically,":[72],"first":[74],"sample":[75],"confident":[76],"instances":[77],"positive":[79],"pairs":[80],"using":[81],"pre-trained":[83],"human":[86],"annotations.":[87,171],"Then,":[88],"extend":[90],"supervised":[92],"loss":[94],"obtain":[96],"noise-tolerant":[98],"version":[99],"that":[100,152],"supports":[101],"continuous":[102],"consistency":[103],"between":[104],"labels.":[105],"After":[106],"that,":[107],"leverage":[109],"learned":[111],"representations":[112],"train":[114],"parameters.":[119],"The":[120,148],"generally":[123],"designed":[124],"as":[125],"an":[126],"end-to-end":[127],"framework,":[128],"CrowdCons,":[129],"compatible":[130],"with":[131],"existing":[132],"crowdsourcing":[133,142],"Our":[135],"evaluated":[138],"on":[139],"three":[140],"real-world":[141],"datasets;":[143],"LabelMe,":[144],"CIFAR10-H":[145],"Music.":[147],"experimental":[149],"results":[150],"show":[151],"it":[153],"can":[154],"significantly":[155],"prediction":[157],"accuracy,":[158],"case":[161],"study":[162],"demonstrates":[163],"robustness":[165],"of":[166],"regarding":[169],"noisy":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}