{"id":"https://openalex.org/W4296558715","doi":"https://doi.org/10.1109/tpami.2022.3208419","title":"MaxMatch: Semi-Supervised Learning With Worst-Case Consistency","display_name":"MaxMatch: Semi-Supervised Learning With Worst-Case Consistency","publication_year":2022,"publication_date":"2022-09-21","ids":{"openalex":"https://openalex.org/W4296558715","doi":"https://doi.org/10.1109/tpami.2022.3208419"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3208419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3208419","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2209.12611","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053213796","display_name":"Yangbangyan Jiang","orcid":"https://orcid.org/0000-0002-0148-8306"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangbangyan Jiang","raw_affiliation_strings":["State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433314","display_name":"Xiaodan Li","orcid":"https://orcid.org/0000-0002-5025-4805"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodan Li","raw_affiliation_strings":["Security Department of Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Security Department of Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112357023","display_name":"Yuefeng Chen","orcid":"https://orcid.org/0009-0003-7894-3498"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuefeng Chen","raw_affiliation_strings":["Security Department of Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Security Department of Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802340","display_name":"Yuan He","orcid":"https://orcid.org/0000-0002-6885-1341"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan He","raw_affiliation_strings":["Security Department of Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Security Department of Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089092566","display_name":"Qianqian Xu","orcid":"https://orcid.org/0000-0002-3512-7277"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Xu","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009753955","display_name":"Zhiyong Yang","orcid":"https://orcid.org/0000-0002-4409-4999"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Yang","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068837264","display_name":"Xiaochun Cao","orcid":"https://orcid.org/0000-0001-7141-708X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochun Cao","raw_affiliation_strings":["School of Cyber Science and Technology, Shenzhen Campus, Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Shenzhen Campus, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","Peng Cheng Laboratory, Shenzhen, China","Key Laboratory of Big Data Mining and Knowledge Management (BDKM), University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management (BDKM), University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5053213796"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":3.999,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94454271,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"45","issue":"5","first_page":"5970","last_page":"5987"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9973000288009644,"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":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.7288270592689514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688308835029602},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6709384918212891},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5466126203536987},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.543360710144043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5403741598129272},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5246891379356384},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.513818085193634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.509215235710144},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49965548515319824},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.46149003505706787},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4240458011627197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25424471497535706},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.23957860469818115}],"concepts":[{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.7288270592689514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688308835029602},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6709384918212891},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5466126203536987},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.543360710144043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5403741598129272},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5246891379356384},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.513818085193634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.509215235710144},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49965548515319824},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.46149003505706787},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4240458011627197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25424471497535706},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.23957860469818115},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3208419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3208419","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":"pmh:oai:arXiv.org:2209.12611","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.12611","pdf_url":"https://arxiv.org/pdf/2209.12611","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2209.12611","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.12611","pdf_url":"https://arxiv.org/pdf/2209.12611","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G431784793","display_name":null,"funder_award_id":"61976202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4414281452","display_name":null,"funder_award_id":"62025604","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6286933758","display_name":null,"funder_award_id":"2018AAA0102000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6785349463","display_name":null,"funder_award_id":"6212200758","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7183324353","display_name":null,"funder_award_id":"U1936208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7727892362","display_name":null,"funder_award_id":"2022M713101","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7801426869","display_name":null,"funder_award_id":"61931008","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1571801203","https://openalex.org/W1861492603","https://openalex.org/W1972910244","https://openalex.org/W2001610032","https://openalex.org/W2079057609","https://openalex.org/W2101210369","https://openalex.org/W2108598243","https://openalex.org/W2124541940","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2540093921","https://openalex.org/W2946856970","https://openalex.org/W2947294642","https://openalex.org/W2963038205","https://openalex.org/W2964137095","https://openalex.org/W2964159205","https://openalex.org/W2979805229","https://openalex.org/W2984353870","https://openalex.org/W2995808743","https://openalex.org/W3001197829","https://openalex.org/W3009561768","https://openalex.org/W3034815148","https://openalex.org/W3034989734","https://openalex.org/W3035040255","https://openalex.org/W3035160371","https://openalex.org/W3035293718","https://openalex.org/W3035593893","https://openalex.org/W3035682985","https://openalex.org/W3118608800","https://openalex.org/W3134825596","https://openalex.org/W3174697615","https://openalex.org/W3174699664","https://openalex.org/W3180500590","https://openalex.org/W3180562345","https://openalex.org/W3183862858","https://openalex.org/W3209458476","https://openalex.org/W4250589301","https://openalex.org/W6603760306","https://openalex.org/W6623329352","https://openalex.org/W6677919164","https://openalex.org/W6681579320","https://openalex.org/W6681588610","https://openalex.org/W6717772578","https://openalex.org/W6733814495","https://openalex.org/W6734209382","https://openalex.org/W6741832134","https://openalex.org/W6745136726","https://openalex.org/W6762152438","https://openalex.org/W6762913911","https://openalex.org/W6763049546","https://openalex.org/W6763832118","https://openalex.org/W6764051988","https://openalex.org/W6765939562","https://openalex.org/W6766773940","https://openalex.org/W6769969040","https://openalex.org/W6771787070","https://openalex.org/W6773237268","https://openalex.org/W6774670964","https://openalex.org/W6778950117","https://openalex.org/W6779977557","https://openalex.org/W6780236752","https://openalex.org/W6783991215","https://openalex.org/W6784232266","https://openalex.org/W6787972765","https://openalex.org/W6790615440","https://openalex.org/W6797119129"],"related_works":["https://openalex.org/W2365028544","https://openalex.org/W4309984931","https://openalex.org/W4282977123","https://openalex.org/W2949671220","https://openalex.org/W2013810580","https://openalex.org/W4206276646","https://openalex.org/W2371815184","https://openalex.org/W1571801203","https://openalex.org/W2369040532","https://openalex.org/W2186210338"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"great":[3],"progress":[4],"has":[5],"been":[6],"made":[7],"to":[8,12,140,152],"incorporate":[9],"unlabeled":[10,36,104,125],"data":[11,37,106],"overcome":[13],"the":[14,28,39,59,66,96,119,142,163],"inefficiently":[15],"supervised":[16],"problem":[17],"via":[18],"semi-supervised":[19],"learning":[20],"(SSL).":[21],"Most":[22],"state-of-the-art":[23],"models":[24],"are":[25],"based":[26],"on":[27,101,157],"idea":[29],"of":[30,55,95,165],"pursuing":[31],"consistent":[32],"model":[33],"predictions":[34],"over":[35],"toward":[38],"input":[40],"noise,":[41],"which":[42],"is":[43,52],"called":[44],"<italic":[45],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[46],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">consistency":[47],"regularization</i>":[48],".":[49],"Nonetheless,":[50],"there":[51],"a":[53,75,89,135,153],"lack":[54],"theoretical":[56,69],"insights":[57],"into":[58],"reason":[60],"behind":[61],"its":[62,128],"success.":[63],"To":[64],"bridge":[65],"gap":[67],"between":[68,122],"and":[70,103,127,146],"practical":[71],"results,":[72],"we":[73,86,112],"propose":[74],"worst-case":[76],"consistency":[77],"regularization":[78],"technique":[79],"for":[80,92],"SSL":[81,93,115],"in":[82],"this":[83,110],"paper.":[84],"Specifically,":[85],"first":[87],"present":[88],"generalization":[90],"bound":[91],"consisting":[94],"empirical":[97],"loss":[98],"terms":[99],"observed":[100],"labeled":[102],"training":[105],"separately.":[107],"Motivated":[108],"by":[109],"bound,":[111],"derive":[113],"an":[114,123],"objective":[116],"that":[117,149],"minimizes":[118],"largest":[120],"inconsistency":[121],"original":[124],"sample":[126],"multiple":[129],"augmented":[130],"variants.":[131],"We":[132],"then":[133],"provide":[134],"simple":[136],"but":[137],"effective":[138],"algorithm":[139],"solve":[141],"proposed":[143,167],"minimax":[144],"problem,":[145],"theoretically":[147],"prove":[148],"it":[150],"converges":[151],"stationary":[154],"point.":[155],"Experiments":[156],"five":[158],"popular":[159],"benchmark":[160],"datasets":[161],"validate":[162],"effectiveness":[164],"our":[166],"method.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2022-09-21T00:00:00"}