{"id":"https://openalex.org/W7165805930","doi":"https://doi.org/10.48550/arxiv.2606.24007","title":"Fast and Slow Variational Continual Learning","display_name":"Fast and Slow Variational Continual Learning","publication_year":2026,"publication_date":"2026-06-22","ids":{"openalex":"https://openalex.org/W7165805930","doi":"https://doi.org/10.48550/arxiv.2606.24007"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.24007","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24007","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.24007","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110988255","display_name":"Subarnaduti Paul","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul, Subarnaduti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102786426","display_name":"Yohan Jung","orcid":"https://orcid.org/0000-0001-8930-8789"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jung, Yohan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053565482","display_name":"Mohammad Emtiyaz Khan","orcid":"https://orcid.org/0000-0001-7614-0489"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khan, Mohammad Emtiyaz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139291227","display_name":"Siddharth Swaroop","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swaroop, Siddharth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139270889","display_name":"Thomas M\u00f6llenhoff","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M\u00f6llenhoff, Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003202878","display_name":"Martin Mundt","orcid":"https://orcid.org/0000-0003-1639-8255"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mundt, Martin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.958299994468689,"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":0.958299994468689,"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":0.004100000020116568,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.003599999938160181,"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/key","display_name":"Key (lock)","score":0.6273999810218811},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.559499979019165},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5138999819755554},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5121999979019165},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4595000147819519},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.36980000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7235999703407288},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6273999810218811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6089000105857849},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.559499979019165},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5138999819755554},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47200000286102295},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4595000147819519},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.36980000138282776},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27149999141693115},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.27070000767707825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.24007","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24007","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.24007","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24007","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5814521312713623,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Continual":[0,151],"learning":[1,104],"remains":[2],"a":[3],"major":[4],"challenge":[5],"for":[6,18],"modern":[7],"deep":[8,38],"networks,":[9],"partly":[10],"because":[11],"commonly":[12,56],"used":[13,57,76,111],"optimizers":[14],"lack":[15],"inherent":[16],"mechanisms":[17],"continual":[19,178],"adaptation.":[20],"One":[21],"such":[22],"natural":[23],"mechanism":[24,36],"is":[25,46,85,109],"fast":[26],"and":[27,33,42,136,155,180],"slow":[28,88,96],"adaptation":[29,89],"to":[30,51,86,95,119,141],"balance":[31],"stability":[32],"plasticity.":[34],"This":[35],"has":[37],"roots":[39],"in":[40,55,79,100,115,130],"neuroscience":[41],"biology,":[43],"but":[44,167],"there":[45],"no":[47],"consensus":[48],"on":[49],"how":[50],"best":[52],"incorporate":[53,87],"it":[54,158],"optimizers.":[58],"Here,":[59],"we":[60],"show":[61,156],"that":[62,142,157],"this":[63,147],"can":[64,126],"be":[65,127],"easily":[66],"done":[67],"via":[68,90],"the":[69,80,98,101,113,116,121,131,150],"VCL":[70,117,165],"framework,":[71],"where":[72],"past":[73,93],"posteriors":[74,94],"are":[75,138],"as":[77,103,112],"priors":[78],"future.":[81],"Our":[82],"key":[83],"idea":[84],"merging":[91],"of":[92,143,182],"down":[97],"drift":[99],"knowledge":[102],"progresses.":[105],"The":[106],"merged":[107],"posterior":[108],"then":[110],"prior":[114],"update":[118],"implement":[120],"fast-weight":[122],"updates.":[123],"These":[124],"steps":[125],"seamlessly":[128],"implemented":[129],"IVON":[132,152],"optimizer,":[133],"whose":[134],"form":[135],"costs":[137],"nearly":[139],"identical":[140],"Adam.":[144],"We":[145],"call":[146],"new":[148],"optimizer":[149,154],"(CoVON)":[153],"not":[159],"only":[160],"consistently":[161],"improves":[162],"over":[163],"existing":[164],"optimizers,":[166],"also":[168],"performs":[169],"better":[170],"than":[171],"other":[172],"weight-regularization":[173],"strategies":[174],"across":[175],"domain-incremental":[176],"learning,":[177],"pre-training,":[179],"fine-tuning":[181],"large":[183],"language":[184],"models.":[185]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-25T00:00:00"}