{"id":"https://openalex.org/W4401863251","doi":"https://doi.org/10.1145/3637528.3671672","title":"Towards Test Time Adaptation via Calibrated Entropy Minimization","display_name":"Towards Test Time Adaptation via Calibrated Entropy Minimization","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401863251","doi":"https://doi.org/10.1145/3637528.3671672"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671672","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102002749","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0002-8013-9023"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":["National University of Defense Technology, ChangSha, China"],"raw_orcid":"https://orcid.org/0000-0002-8013-9023","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, ChangSha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757169","display_name":"Min Wang","orcid":"https://orcid.org/0000-0002-6306-2589"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Wang","raw_affiliation_strings":["National University of Defense Technology, ChangSha, China"],"raw_orcid":"https://orcid.org/0000-0002-6306-2589","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, ChangSha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078466580","display_name":"Jinshen Jiang","orcid":"https://orcid.org/0009-0006-2807-0862"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshen Jiang","raw_affiliation_strings":["National University of Defense Technology, ChangSha, China"],"raw_orcid":"https://orcid.org/0009-0006-2807-0862","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, ChangSha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022422213","display_name":"Yun Zhou","orcid":"https://orcid.org/0000-0001-7328-0275"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhou","raw_affiliation_strings":["National University of Defense Technology, ChangSha, China"],"raw_orcid":"https://orcid.org/0000-0001-7328-0275","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, ChangSha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.8056,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85053216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3736","last_page":"3746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.954200029373169,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9422000050544739,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.6240284442901611},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5601224899291992},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5382428169250488},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45882654190063477},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.05754026770591736}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6240284442901611},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5601224899291992},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5382428169250488},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45882654190063477},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.05754026770591736},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671672","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1480538416","https://openalex.org/W1982032418","https://openalex.org/W2162651021","https://openalex.org/W2214409633","https://openalex.org/W2565639579","https://openalex.org/W2603777577","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2979509742","https://openalex.org/W3175030727","https://openalex.org/W3175042385","https://openalex.org/W3183048323","https://openalex.org/W3201774370","https://openalex.org/W3202498828","https://openalex.org/W4289639938","https://openalex.org/W4304014903","https://openalex.org/W4312365002","https://openalex.org/W4312365264","https://openalex.org/W4312897837","https://openalex.org/W4383315197"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W2350826920"],"abstract_inverted_index":{"Robust":[0],"models":[1,48],"must":[2],"demonstrate":[3],"strong":[4],"generalizability,":[5],"even":[6],"amid":[7],"environmental":[8],"changes.":[9],"However,":[10,91],"the":[11,27,67,77,85,89,95,100,121,126,154,172],"complex":[12],"variability":[13],"and":[14,29,73,125,136],"noise":[15],"in":[16,99],"real-world":[17],"data":[18],"often":[19],"lead":[20],"to":[21,39,49,75,94,130],"a":[22,50,71,108,132,143,150],"pronounced":[23],"performance":[24],"gap":[25],"between":[26,134],"training":[28],"testing":[30],"phases.":[31],"Researchers":[32],"have":[33],"recently":[34],"introduced":[35],"test-time-domain":[36],"adaptation":[37],"(TTA)":[38],"address":[40],"this":[41,92],"challenge.":[42],"TTA":[43,63],"methods":[44,64],"primarily":[45],"adapt":[46],"source-pretrained":[47],"target":[51],"domain":[52],"using":[53],"only":[54,66],"unlabeled":[55],"test":[56,80,102],"data.":[57],"This":[58,83,138],"study":[59],"found":[60],"that":[61],"existing":[62,162],"consider":[65],"largest":[68,123],"logit":[69,124],"as":[70],"pseudo-label":[72],"aim":[74],"minimize":[76],"entropy":[78],"of":[79,88,174],"time":[81],"predictions.":[82],"maximizes":[84],"predictive":[86],"confidence":[87],"model.":[90],"corresponds":[93],"model":[96],"being":[97],"overconfident":[98],"local":[101],"scenarios.":[103],"In":[104],"response,":[105],"we":[106],"introduce":[107],"novel":[109],"confidence-calibration":[110],"loss":[111,156],"function":[112],"called":[113],"Calibrated":[114],"Entropy":[115],"Test-Time":[116],"Adaptation":[117],"(CETA),":[118],"which":[119],"considers":[120],"model's":[122],"next-highest-ranked":[127],"one,":[128],"aiming":[129],"strike":[131],"balance":[133],"overconfidence":[135],"underconfidence.":[137],"was":[139],"achieved":[140],"by":[141],"incorporating":[142],"sample-wise":[144],"regularization":[145],"term.":[146],"We":[147],"also":[148],"provide":[149],"theoretical":[151],"foundation":[152],"for":[153],"proposed":[155],"function.":[157],"Experimentally,":[158],"our":[159,175],"method":[160],"outperformed":[161],"strategies":[163],"on":[164],"benchmark":[165],"corruption":[166],"datasets":[167],"across":[168],"multiple":[169],"models,":[170],"underscoring":[171],"efficacy":[173],"approach.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
