{"id":"https://openalex.org/W3193979468","doi":"https://doi.org/10.1109/isit45174.2021.9518097","title":"Adaptive Label Smoothing for Classifier-based Mutual Information Neural Estimation","display_name":"Adaptive Label Smoothing for Classifier-based Mutual Information Neural Estimation","publication_year":2021,"publication_date":"2021-07-12","ids":{"openalex":"https://openalex.org/W3193979468","doi":"https://doi.org/10.1109/isit45174.2021.9518097","mag":"3193979468"},"language":"en","primary_location":{"id":"doi:10.1109/isit45174.2021.9518097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9518097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","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/A5100407894","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0002-7127-0839"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xu Wang","raw_affiliation_strings":["City University of Hong Kong,Department of Computer Science","Department of Computer Science, City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Computer Science","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090983465","display_name":"Ali Al-Bashabsheh","orcid":"https://orcid.org/0000-0003-0462-7727"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ali Al-Bashabsheh","raw_affiliation_strings":["Big Data and Brain Computing (BDBC) center at Beihang University,Beijing,China","Big Data and Brain Computing (BDBC) center at Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Big Data and Brain Computing (BDBC) center at Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Big Data and Brain Computing (BDBC) center at Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084598007","display_name":"Chao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chao Zhao","raw_affiliation_strings":["City University of Hong Kong,Department of Computer Science","Department of Computer Science, City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Computer Science","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065701256","display_name":"Chung Chan","orcid":"https://orcid.org/0000-0003-2006-0898"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chung Chan","raw_affiliation_strings":["City University of Hong Kong,Department of Computer Science","Department of Computer Science, City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Computer Science","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100407894"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63844031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1035","last_page":"1040"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9987000226974487,"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/mnist-database","display_name":"MNIST database","score":0.8033410906791687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6823978424072266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6713702082633972},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6607577204704285},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.645075798034668},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5688717365264893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5569724440574646},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5546370148658752},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5318253636360168},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5049417614936829}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8033410906791687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6823978424072266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6713702082633972},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6607577204704285},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.645075798034668},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5688717365264893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5569724440574646},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5546370148658752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5318253636360168},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5049417614936829},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit45174.2021.9518097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9518097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W108696806","https://openalex.org/W1549664537","https://openalex.org/W2080722576","https://openalex.org/W2092939357","https://openalex.org/W2097732278","https://openalex.org/W2099111195","https://openalex.org/W2102471334","https://openalex.org/W2112796928","https://openalex.org/W2114771311","https://openalex.org/W2125031621","https://openalex.org/W2125055259","https://openalex.org/W2136144249","https://openalex.org/W2138204974","https://openalex.org/W2183341477","https://openalex.org/W2419501139","https://openalex.org/W2803832867","https://openalex.org/W2887997457","https://openalex.org/W2936864631","https://openalex.org/W2948210185","https://openalex.org/W2950365520","https://openalex.org/W2964184826","https://openalex.org/W2964420626","https://openalex.org/W2966201455","https://openalex.org/W2996320484","https://openalex.org/W3034756453","https://openalex.org/W3037428746","https://openalex.org/W3096831136","https://openalex.org/W3098824274","https://openalex.org/W3118608800","https://openalex.org/W4243316134","https://openalex.org/W4289294839","https://openalex.org/W4297798436","https://openalex.org/W4297808394","https://openalex.org/W4302366875","https://openalex.org/W6674387193","https://openalex.org/W6678885109","https://openalex.org/W6680106237","https://openalex.org/W6717434760","https://openalex.org/W6732696085","https://openalex.org/W6734376636","https://openalex.org/W6752051073","https://openalex.org/W6754278344","https://openalex.org/W6755987414","https://openalex.org/W6763499948","https://openalex.org/W6766489549","https://openalex.org/W6780145335","https://openalex.org/W6844194202"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W2733410219","https://openalex.org/W2734358244","https://openalex.org/W4388700941"],"abstract_inverted_index":{"Estimating":[0],"the":[1,21,24,33,56,61,70,77,92],"mutual":[2],"information":[3],"(MI)":[4],"by":[5,27],"neural":[6,25],"networks":[7],"has":[8],"achieved":[9],"significant":[10],"practical":[11],"success,":[12],"especially":[13],"in":[14,23,48,117],"representation":[15,107,119],"learning.":[16,120],"Recent":[17],"results":[18,47,95],"further":[19],"reduced":[20],"variance":[22],"estimation":[26],"training":[28],"a":[29,65,88],"probabilistic":[30],"classifier.":[31],"However,":[32],"trained":[34],"classifier":[35],"tends":[36],"to":[37,54,74],"be":[38],"overly":[39],"confident":[40],"about":[41],"some":[42],"of":[43],"its":[44],"predictions,":[45],"which":[46],"an":[49],"overestimated":[50],"MI":[51,83],"that":[52,68,102],"fails":[53],"capture":[55],"desired":[57],"representation.":[58],"To":[59],"soften":[60],"classifier,":[62],"we":[63],"propose":[64],"novel":[66],"scheme":[67],"smooths":[69],"label":[71],"adaptively":[72],"according":[73],"how":[75],"extreme":[76],"probability":[78],"estimates":[79],"are.":[80],"The":[81],"resulting":[82],"estimate":[84],"is":[85],"unbiased":[86],"under":[87],"mild":[89],"assumption":[90],"on":[91,96],"model.":[93],"Experimental":[94],"MNIST":[97],"and":[98,108],"CIFAR10":[99],"datasets":[100],"confirmed":[101],"our":[103],"method":[104],"yields":[105],"better":[106],"achieves":[109],"higher":[110],"classification":[111],"test":[112],"accuracy":[113],"among":[114],"existing":[115],"approaches":[116],"self-supervised":[118]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
