{"id":"https://openalex.org/W4226224154","doi":"https://doi.org/10.1007/978-3-030-92659-5_5","title":"Revisiting Consistency Regularization for Semi-Supervised Learning","display_name":"Revisiting Consistency Regularization for Semi-Supervised Learning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4226224154","doi":"https://doi.org/10.1007/978-3-030-92659-5_5"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-92659-5_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-92659-5_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-022-01723-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110775241","display_name":"Yue Fan","orcid":"https://orcid.org/0009-0009-1625-2775"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Fan","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6670-2011","affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010253834","display_name":"Anna Kukleva","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anna Kukleva","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051534545","display_name":"Bernt Schiele","orcid":"https://orcid.org/0000-0001-9683-5237"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dengxin Dai","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Bernt Schiele","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bernt Schiele","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22138737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"131","issue":"3","first_page":"626","last_page":"643"},"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":0.9973999857902527,"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":0.9973999857902527,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9678999781608582,"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/regularization","display_name":"Regularization (linguistics)","score":0.777868390083313},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6087357997894287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.585724949836731},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5611535310745239},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4734480082988739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4553133249282837},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4269874095916748},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35151344537734985}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.777868390083313},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6087357997894287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.585724949836731},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5611535310745239},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4734480082988739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4553133249282837},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4269874095916748},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35151344537734985}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-92659-5_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-92659-5_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"doi:10.1007/s11263-022-01723-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-022-01723-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-022-01723-4.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11263-022-01723-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-022-01723-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-022-01723-4.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226224154.pdf","grobid_xml":"https://content.openalex.org/works/W4226224154.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1981276685","https://openalex.org/W1983320747","https://openalex.org/W1990334093","https://openalex.org/W2095705004","https://openalex.org/W2108501770","https://openalex.org/W2108598243","https://openalex.org/W2111316763","https://openalex.org/W2111557120","https://openalex.org/W2117539524","https://openalex.org/W2118858186","https://openalex.org/W2194775991","https://openalex.org/W2335728318","https://openalex.org/W2431080869","https://openalex.org/W2560674852","https://openalex.org/W2592691248","https://openalex.org/W2592916831","https://openalex.org/W2747329762","https://openalex.org/W2785325870","https://openalex.org/W2794523151","https://openalex.org/W2936995161","https://openalex.org/W2943865428","https://openalex.org/W2948012107","https://openalex.org/W2952120674","https://openalex.org/W2962369866","https://openalex.org/W2963558289","https://openalex.org/W2964137095","https://openalex.org/W2964159205","https://openalex.org/W2979805229","https://openalex.org/W2981188200","https://openalex.org/W2981952041","https://openalex.org/W2996501936","https://openalex.org/W2998229299","https://openalex.org/W3001197829","https://openalex.org/W3013561810","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3035682985","https://openalex.org/W3036224891","https://openalex.org/W3036475571","https://openalex.org/W3042611018","https://openalex.org/W3091002423","https://openalex.org/W3116529608","https://openalex.org/W3118608800","https://openalex.org/W3151142710","https://openalex.org/W3163602117","https://openalex.org/W3167251133","https://openalex.org/W3171007011","https://openalex.org/W3180500590","https://openalex.org/W3180562345","https://openalex.org/W3205500251","https://openalex.org/W3205830981","https://openalex.org/W3209458476","https://openalex.org/W4237591687","https://openalex.org/W4285556924","https://openalex.org/W4312256146","https://openalex.org/W4312373370","https://openalex.org/W6600160247","https://openalex.org/W6601630192","https://openalex.org/W6603084714","https://openalex.org/W6623329352","https://openalex.org/W6631190155","https://openalex.org/W6678975374","https://openalex.org/W6694954494","https://openalex.org/W6743446608","https://openalex.org/W6743661861","https://openalex.org/W6748053814","https://openalex.org/W6764051988","https://openalex.org/W6767104088"],"related_works":["https://openalex.org/W36490","https://openalex.org/W728297","https://openalex.org/W17540530","https://openalex.org/W4947539","https://openalex.org/W14481880","https://openalex.org/W10648265","https://openalex.org/W5236451","https://openalex.org/W15740437","https://openalex.org/W15119441","https://openalex.org/W13661906"],"abstract_inverted_index":{"Abstract":[0],"Consistency":[1],"regularization":[2,74],"is":[3,17,23],"one":[4],"of":[5,106,112],"the":[6,15,60,89,92,107,148,151],"most":[7],"widely-used":[8],"techniques":[9],"for":[10],"semi-supervised":[11,114,121],"learning":[12,115,122],"(SSL).":[13],"Generally,":[14],"aim":[16],"to":[18,25,51,146],"train":[19],"a":[20,77,103,110,130],"model":[21,101],"that":[22,38,83,99],"invariant":[24],"various":[26],"data":[27,135],"augmentations.":[28],"In":[29],"this":[30,34,67],"paper,":[31],"we":[32,69,125],"revisit":[33],"idea":[35],"and":[36,86,91,137,150],"find":[37],"enforcing":[39],"invariance":[40],"by":[41,58,76,129],"decreasing":[42],"distances":[43],"between":[44],"features":[45],"from":[46],"differently":[47],"augmented":[48],"images":[49],"leads":[50],"improved":[52,72],"performance.":[53,65],"However,":[54],"encouraging":[55],"equivariance":[56,87],"instead,":[57],"increasing":[59],"feature":[61,93],"distance,":[62],"further":[63],"improves":[64],"To":[66],"end,":[68],"propose":[70],"an":[71],"consistency":[73,85],"framework":[75],"simple":[78],"yet":[79],"effective":[80],"technique,":[81],"FeatDistLoss,":[82],"imposes":[84],"on":[88],"classifier":[90],"level,":[94],"respectively.":[95],"Experimental":[96],"results":[97],"show":[98],"our":[100],"defines":[102],"new":[104],"state":[105],"art":[108],"across":[109],"variety":[111],"standard":[113],"benchmarks":[116],"as":[117,119],"well":[118],"imbalanced":[120],"benchmarks.":[123],"Particularly,":[124],"outperform":[126],"previous":[127],"work":[128],"significant":[131],"margin":[132],"in":[133],"low":[134],"regimes":[136],"at":[138],"large":[139],"imbalance":[140],"ratios.":[141],"Extensive":[142],"experiments":[143],"are":[144],"conducted":[145],"analyze":[147],"method,":[149],"code":[152],"will":[153],"be":[154],"published.":[155]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2022-05-05T00:00:00"}
