{"id":"https://openalex.org/W4403791361","doi":"https://doi.org/10.1145/3664647.3681106","title":"Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning","display_name":"Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791361","doi":"https://doi.org/10.1145/3664647.3681106"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681106","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5059565360","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0001-8109-5248"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Lei Liu","raw_affiliation_strings":["Shenzhen Research Institute of Big Data (SRIBD) & The Chinese University of Hong Kong, Shenzhen, Shenzhen, Guangdong, China","The Hong Kong University of Science and Technology (Guangzhou) & The Hong Kong University of Science and Technology, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data (SRIBD) & The Chinese University of Hong Kong, Shenzhen, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou) & The Hong Kong University of Science and Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418818","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-4497-0135"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Shenzhen Research Institute of Big Data (SRIBD) & The Chinese University of Hong Kong, Shenzhen, Shenzhen, Guangdong, China","The Hong Kong University of Science and Technology (Guangzhou) & The Hong Kong University of Science and Technology, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data (SRIBD) & The Chinese University of Hong Kong, Shenzhen, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou) & The Hong Kong University of Science and Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040232431","display_name":"Yawen Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yawen Cui","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059565360"],"corresponding_institution_ids":["https://openalex.org/I200769079","https://openalex.org/I4210099586","https://openalex.org/I4210116924","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19184332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2888","last_page":"2897"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10635","display_name":"Hydraulic Fracturing and Reservoir Analysis","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7384985685348511},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5645474791526794},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3758666515350342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3492981791496277},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07862076163291931}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7384985685348511},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5645474791526794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3758666515350342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3492981791496277},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07862076163291931},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3664647.3681106","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-148986","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-148986","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2036963181","https://openalex.org/W2116522068","https://openalex.org/W2119885577","https://openalex.org/W2148143831","https://openalex.org/W2194775991","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2594833348","https://openalex.org/W2786446225","https://openalex.org/W2948734064","https://openalex.org/W2962933664","https://openalex.org/W2963072899","https://openalex.org/W2963351448","https://openalex.org/W2964189064","https://openalex.org/W3000677656","https://openalex.org/W3034238904","https://openalex.org/W3034711780","https://openalex.org/W3043271475","https://openalex.org/W3044057088","https://openalex.org/W3098511564","https://openalex.org/W3110148193","https://openalex.org/W3115684750","https://openalex.org/W3130897078","https://openalex.org/W3156772576","https://openalex.org/W3177306522","https://openalex.org/W3202232857","https://openalex.org/W4205164650","https://openalex.org/W4214818106","https://openalex.org/W4289656127","https://openalex.org/W4312238419","https://openalex.org/W4312533113","https://openalex.org/W4312991107"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Even":[0],"in":[1,12,62,212],"the":[2,9,24,43,47,66,72,105,116,141,145,158,182],"era":[3],"of":[4,8,46,184],"large":[5],"models,":[6],"one":[7],"well-known":[10],"issues":[11],"continual":[13,25],"learning":[14,217],"(CL)":[15],"is":[16,20,59,138,164,179,193],"catastrophic":[17],"forgetting,":[18],"which":[19,137],"significantly":[21],"challenging":[22],"when":[23],"data":[26,48,93,131],"stream":[27,49,94],"exhibits":[28],"a":[29,82],"long-tailed":[30,92,198],"distribution,":[31],"termed":[32],"as":[33,219,221],"Long-Tailed":[34],"Continual":[35],"Learning":[36],"(LTCL).":[37],"Existing":[38],"LTCL":[39,210],"solutions":[40],"generally":[41],"require":[42],"label":[44],"distribution":[45],"to":[50,89,111,115,127,155,165,180,203],"achieve":[51],"re-balance":[52],"training.":[53,190],"However,":[54],"obtaining":[55],"such":[56],"prior":[57,135],"information":[58],"often":[60],"infeasible":[61],"real":[63],"scenarios":[64],"since":[65],"model":[67,146],"should":[68],"learn":[69,90],"without":[70,132],"pre-identifying":[71],"majority":[73],"and":[74,147,207,215,223],"minority":[75,106,130],"classes.":[76],"To":[77],"this":[78],"end,":[79],"we":[80,119,150],"propose":[81],"novel":[83],"Prior-free":[84],"Balanced":[85],"Replay":[86],"(PBR)":[87],"framework":[88],"from":[91],"with":[95,189],"less":[96],"forgetting.":[97],"Concretely,":[98],"motivated":[99],"by":[100],"our":[101],"experimental":[102],"finding":[103],"that":[104],"classes":[107],"are":[108],"more":[109],"likely":[110],"be":[112],"forgotten":[113],"due":[114],"higher":[117],"uncertainty,":[118],"newly":[120],"design":[121],"an":[122],"uncertainty-guided":[123],"reservoir":[124],"sampling":[125],"strategy":[126],"prioritize":[128],"rehearsing":[129],"using":[133],"any":[134],"information,":[136],"based":[139],"on":[140,195],"mutual":[142],"dependence":[143],"between":[144],"samples.":[148],"Additionally,":[149],"incorporate":[151],"two":[152],"prior-free":[153],"components":[154],"further":[156],"reduce":[157],"forgetting":[159],"issue:":[160],"(1)":[161],"Boundary":[162],"constraint":[163,178],"preserve":[166],"uncertain":[167],"boundary":[168],"supporting":[169],"samples":[170],"for":[171],"continually":[172],"re-estimating":[173],"task":[174],"boundaries.":[175],"(2)":[176],"Prototype":[177],"maintain":[181],"consistency":[183],"learned":[185],"class":[186],"prototypes":[187],"along":[188],"Our":[191],"approach":[192,211],"evaluated":[194],"three":[196],"standard":[197],"benchmarks,":[199],"demonstrating":[200],"superior":[201],"performance":[202],"existing":[204],"CL":[205],"methods":[206],"previous":[208],"SOTA":[209],"both":[213],"task-":[214],"class-incremental":[216],"settings,":[218],"well":[220],"ordered-":[222],"shuffled-LTCL":[224],"settings.":[225],"\u00a9":[226],"2024":[227],"ACM.":[228]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}