{"id":"https://openalex.org/W4387848879","doi":"https://doi.org/10.1145/3583780.3614826","title":"CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization","display_name":"CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387848879","doi":"https://doi.org/10.1145/3583780.3614826"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3614826","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3614826","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614826","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614826","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056120706","display_name":"Xiaobo Zhang","orcid":"https://orcid.org/0000-0002-6598-0519"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Zhang","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6598-0519","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090143892","display_name":"Yutao Liu","orcid":"https://orcid.org/0009-0001-2001-7876"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Liu","raw_affiliation_strings":["Southwest Jiaotong University, Chendu, China"],"raw_orcid":"https://orcid.org/0009-0001-2001-7876","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chendu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777000","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9492-3807"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-9492-3807","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391888","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-1568-2396"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1568-2396","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011919849","display_name":"Panpan Ni","orcid":"https://orcid.org/0009-0006-8769-2207"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Panpan Ni","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0006-8769-2207","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705326","display_name":"Ji Zhang","orcid":"https://orcid.org/0000-0001-7167-6970"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ji Zhang","raw_affiliation_strings":["University of Southern Queensland, Toowoomba, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7167-6970","affiliations":[{"raw_affiliation_string":"University of Southern Queensland, Toowoomba, Australia","institution_ids":["https://openalex.org/I185523456"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8347,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7503228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3184","last_page":"3194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","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/T12535","display_name":"Machine Learning and Data Classification","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9749000072479248,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9695000052452087,"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/hyperparameter","display_name":"Hyperparameter","score":0.8589079976081848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.742466926574707},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6875041723251343},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6452921628952026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6435369253158569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6055302619934082},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5823887586593628},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5003268718719482},{"id":"https://openalex.org/keywords/selection-bias","display_name":"Selection bias","score":0.4630228877067566},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4300164580345154},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.42799079418182373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41190141439437866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15183746814727783},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11426693201065063}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8589079976081848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.742466926574707},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6875041723251343},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6452921628952026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6435369253158569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6055302619934082},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5823887586593628},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5003268718719482},{"id":"https://openalex.org/C40423286","wikidata":"https://www.wikidata.org/wiki/Q284172","display_name":"Selection bias","level":2,"score":0.4630228877067566},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4300164580345154},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.42799079418182373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41190141439437866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15183746814727783},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11426693201065063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3583780.3614826","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3614826","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614826","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-135526","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-135526","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.1145/3583780.3614826","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3614826","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614826","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G2291908008","display_name":null,"funder_award_id":"2023A03J0013","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"},{"id":"https://openalex.org/G3249808475","display_name":null,"funder_award_id":"61976247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3482861143","display_name":null,"funder_award_id":"LZ21F030001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3607150732","display_name":null,"funder_award_id":"2682021ZTPY009","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4040329239","display_name":null,"funder_award_id":"62172372","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5870439567","display_name":null,"funder_award_id":"2023A03J0003","funder_id":"https://openalex.org/F4320323537","funder_display_name":"Hong Kong University of Science and Technology"},{"id":"https://openalex.org/G7020882947","display_name":null,"funder_award_id":"2023A03J0003","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"},{"id":"https://openalex.org/G8835817537","display_name":null,"funder_award_id":"2023A03J0013","funder_id":"https://openalex.org/F4320323537","funder_display_name":"Hong Kong University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387848879.pdf","grobid_xml":"https://content.openalex.org/works/W4387848879.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2064675550","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2566079294","https://openalex.org/W2612690371","https://openalex.org/W2618530766","https://openalex.org/W2798913983","https://openalex.org/W2964274690","https://openalex.org/W2964292098","https://openalex.org/W2970297748","https://openalex.org/W2980673424","https://openalex.org/W2999905431","https://openalex.org/W3034185248","https://openalex.org/W3035682985","https://openalex.org/W3042609801","https://openalex.org/W3093401039","https://openalex.org/W3106250896","https://openalex.org/W3125164229","https://openalex.org/W3127659116","https://openalex.org/W3173874704","https://openalex.org/W3190486510","https://openalex.org/W3205655893","https://openalex.org/W4283705832","https://openalex.org/W4295788893","https://openalex.org/W4312601326","https://openalex.org/W4313014573","https://openalex.org/W4323338406","https://openalex.org/W6740005241"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W2482350142","https://openalex.org/W4280563792","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W1561927205"],"abstract_inverted_index":{"Learning":[0],"with":[1,169],"noisy":[2,20,121,158],"labels":[3,84],"is":[4,12,108],"nontrivial":[5],"for":[6,18,41],"deep":[7],"learning":[8],"models.":[9],"Sample":[10],"selection":[11,36,66,74,127],"a":[13,32,57,133],"widely":[14],"investigated":[15],"research":[16],"topic":[17],"handling":[19],"labels.":[21],"However,":[22],"most":[23],"existing":[24],"methods":[25,167],"face":[26],"challenges":[27],"such":[28],"as":[29],"imprecise":[30],"selection,":[31],"lack":[33],"of":[34,88,95,104,140,147],"global":[35],"capabilities,":[37],"and":[38,53,82,100,119,137,156,176],"the":[39,72,76,86,93,96,101,114,145,148,162],"need":[40],"tedious":[42],"hyperparameter":[43],"tuning.":[44],"In":[45,129],"this":[46],"paper,":[47],"we":[48,131],"propose":[49],"CoSaR":[50,111],"(Collaborative":[51],"Selection":[52],"adversarial":[54],"Regularization":[55],"),":[56],"twin-networks":[58],"based":[59],"model":[60,149,164],"that":[61,161],"performs":[62],"globally":[63],"adaptive":[64],"sample":[65],"to":[67,91,112,117,143],"tackle":[68],"label":[69,134],"noise.":[70],"Specifically,":[71],"collaborative":[73,126],"estimates":[75],"average":[77,97],"distribution":[78,98],"distances":[79,99],"between":[80,174],"predictions":[81],"generation":[83],"through":[85],"collaboration":[87],"two":[89,138],"networks":[90],"address":[92],"bias":[94],"manual":[102],"tuning":[103],"hyperparameters.":[105],"Adversarial":[106],"regularization":[107,136],"integrated":[109],"into":[110],"restrict":[113],"network's":[115],"tendency":[116],"fit":[118],"memorize":[120],"labels,":[122],"thereby":[123],"enhancing":[124],"its":[125],"capability.":[128],"addition,":[130],"employ":[132],"smoothing":[135],"types":[139],"data":[141],"augmentation":[142],"enhance":[144],"robustness":[146],"further.":[150],"Extensive":[151],"experiments":[152],"on":[153],"both":[154],"synthetic":[155],"real-world":[157],"datasets":[159],"demonstrate":[160],"proposed":[163],"outperforms":[165],"baseline":[166],"remarkably,":[168],"an":[170],"accuracy":[171],"improvement":[172],"ranging":[173],"+0.56%":[175],"+15.14%.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2025-10-10T00:00:00"}