{"id":"https://openalex.org/W3082871683","doi":"https://doi.org/10.1109/tnnls.2020.3017292","title":"Continual Learning Using Bayesian Neural Networks","display_name":"Continual Learning Using Bayesian Neural Networks","publication_year":2020,"publication_date":"2020-08-31","ids":{"openalex":"https://openalex.org/W3082871683","doi":"https://doi.org/10.1109/tnnls.2020.3017292","mag":"3082871683","pmid":"https://pubmed.ncbi.nlm.nih.gov/32866104"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3017292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3017292","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100688138","display_name":"Honglin Li","orcid":"https://orcid.org/0000-0002-0654-8179"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]},{"id":"https://openalex.org/I4210126463","display_name":"UK Dementia Research Institute","ror":"https://ror.org/02wedp412","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210126463"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Honglin Li","raw_affiliation_strings":["Care Research and Technology Centre, U.K. Dementia Research Institute (U.K. DRI), London, U.K","Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, U.K"],"raw_orcid":"https://orcid.org/0000-0002-0654-8179","affiliations":[{"raw_affiliation_string":"Care Research and Technology Centre, U.K. Dementia Research Institute (U.K. DRI), London, U.K","institution_ids":["https://openalex.org/I4210126463"]},{"raw_affiliation_string":"Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056157061","display_name":"Payam Barnaghi","orcid":"https://orcid.org/0000-0001-8591-9638"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]},{"id":"https://openalex.org/I4210126463","display_name":"UK Dementia Research Institute","ror":"https://ror.org/02wedp412","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210126463"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Payam Barnaghi","raw_affiliation_strings":["Care Research and Technology Centre, U.K. Dementia Research Institute (U.K. DRI), U.K","Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, U.K","Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8591-9638","affiliations":[{"raw_affiliation_string":"Care Research and Technology Centre, U.K. Dementia Research Institute (U.K. DRI), U.K","institution_ids":["https://openalex.org/I4210126463"]},{"raw_affiliation_string":"Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058205038","display_name":"Shirin Enshaeifar","orcid":"https://orcid.org/0000-0001-6216-0622"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]},{"id":"https://openalex.org/I4210126463","display_name":"UK Dementia Research Institute","ror":"https://ror.org/02wedp412","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210126463"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shirin Enshaeifar","raw_affiliation_strings":["Care Research and Technology Centre, U.K. Dementia Research Institute (U.K. DRI), London, U.K","Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6216-0622","affiliations":[{"raw_affiliation_string":"Care Research and Technology Centre, U.K. Dementia Research Institute (U.K. DRI), London, U.K","institution_ids":["https://openalex.org/I4210126463"]},{"raw_affiliation_string":"Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090478829","display_name":"Frieder Ganz","orcid":"https://orcid.org/0000-0002-6140-4805"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Frieder Ganz","raw_affiliation_strings":["Adobe Systems Engineering GmbH, Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Systems Engineering GmbH, Hamburg, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1554,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.95027619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"32","issue":"9","first_page":"4243","last_page":"4252"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9945999979972839,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9710999727249146,"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/forgetting","display_name":"Forgetting","score":0.9105088710784912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7656874656677246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6776471138000488},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6760892271995544},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.5993360280990601},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5784400105476379},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5652799606323242},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.492801696062088},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.47735121846199036},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07664874196052551}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.9105088710784912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656874656677246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6776471138000488},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6760892271995544},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.5993360280990601},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5784400105476379},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5652799606323242},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.492801696062088},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.47735121846199036},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07664874196052551},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2020.3017292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3017292","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32866104","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32866104","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/82992","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/82992","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"4252","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329730","display_name":"UK Dementia Research Institute","ror":"https://ror.org/02wedp412"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1546503963","https://openalex.org/W1682403713","https://openalex.org/W1904826605","https://openalex.org/W1985690171","https://openalex.org/W2037979274","https://openalex.org/W2038705219","https://openalex.org/W2047057213","https://openalex.org/W2077723394","https://openalex.org/W2094192576","https://openalex.org/W2103753221","https://openalex.org/W2108598243","https://openalex.org/W2113839990","https://openalex.org/W2116522068","https://openalex.org/W2122838776","https://openalex.org/W2122882636","https://openalex.org/W2138309709","https://openalex.org/W2194775991","https://openalex.org/W2426267443","https://openalex.org/W2560647685","https://openalex.org/W2600383743","https://openalex.org/W2605043629","https://openalex.org/W2737492962","https://openalex.org/W2743151379","https://openalex.org/W2765101016","https://openalex.org/W2765895026","https://openalex.org/W2770864858","https://openalex.org/W2788388592","https://openalex.org/W2939618326","https://openalex.org/W2949995560","https://openalex.org/W2951266961","https://openalex.org/W2963540014","https://openalex.org/W2963559848","https://openalex.org/W2963560049","https://openalex.org/W2964067969","https://openalex.org/W2964917234","https://openalex.org/W2966719912","https://openalex.org/W3030364939","https://openalex.org/W4292022450","https://openalex.org/W4299345493","https://openalex.org/W4301163820","https://openalex.org/W4319988532","https://openalex.org/W6677258307","https://openalex.org/W6735443497","https://openalex.org/W6736334413","https://openalex.org/W6738602802","https://openalex.org/W6741217325","https://openalex.org/W6742852309","https://openalex.org/W6742921865","https://openalex.org/W6745121187","https://openalex.org/W6745563435","https://openalex.org/W6746396516","https://openalex.org/W6764214684","https://openalex.org/W6766001146","https://openalex.org/W6849896277"],"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":{"Continual":[0],"learning":[1,21,63,79,150],"models":[2,26,64],"allow":[3],"them":[4],"to":[5,9,39,50,86,90,92,123,132,159,170,216],"learn":[6,133],"and":[7,12,19,136,165,193],"adapt":[8,91],"new":[10,93],"changes":[11],"tasks":[13,94],"over":[14],"time.":[15],"However,":[16],"in":[17,23,61,141,149],"continual":[18,62,77],"sequential":[20],"scenarios,":[22],"which":[24,82],"the":[25,41,84,97,125,142,161,172,176,188,191,203,207,217],"are":[27,114,130,147],"trained":[28],"using":[29],"different":[30,117],"data":[31,164,173,196],"with":[32,116],"various":[33],"distributions,":[34],"neural":[35],"networks":[36,80,85],"(NNs)":[37],"tend":[38],"forget":[40],"previously":[42,98],"learned":[43,99],"knowledge.":[44],"This":[45],"phenomenon":[46],"is":[47,57],"often":[48],"referred":[49],"as":[51],"catastrophic":[52,55,208],"forgetting.":[53],"The":[54,119,153,198],"forgetting":[56,96,209],"an":[58,138,182],"inevitable":[59],"problem":[60,210],"for":[65],"dynamic":[66],"environments.":[67],"To":[68],"address":[69,206],"this":[70],"issue,":[71],"we":[72],"propose":[73],"a":[74,102,107,212],"method,":[75],"called":[76],"Bayesian":[78,103],"(CBLNs),":[81],"enables":[83],"allocate":[87],"additional":[88],"resources":[89,128,145],"without":[95],"tasks.":[100,118,152],"Using":[101],"NN,":[104],"CBLN":[105],"maintains":[106],"mixture":[108],"of":[109,127,144],"Gaussian":[110],"posterior":[111],"distributions":[112],"that":[113,129,146,202],"associated":[115],"proposed":[120,154],"method":[121,155,189,204],"tries":[122],"optimize":[124],"number":[126,143],"needed":[131],"each":[134],"task":[135],"avoids":[137],"exponential":[139],"increase":[140],"involved":[148],"multiple":[151],"does":[156],"not":[157],"need":[158],"access":[160],"past":[162],"training":[163],"can":[166,205],"choose":[167],"suitable":[168],"weights":[169],"classify":[171],"points":[174],"during":[175],"test":[177],"time":[178],"automatically":[179],"based":[180],"on":[181,190],"uncertainty":[183],"criterion.":[184],"We":[185],"have":[186],"evaluated":[187],"MNIST":[192],"UCR":[194],"time-series":[195],"sets.":[197],"evaluation":[199],"results":[200],"show":[201],"at":[211],"promising":[213],"rate":[214],"compared":[215],"state-of-the-art":[218],"models.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}