{"id":"https://openalex.org/W4386075492","doi":"https://doi.org/10.1109/cvpr52729.2023.01931","title":"Regularizing Second-Order Influences for Continual Learning","display_name":"Regularizing Second-Order Influences for Continual Learning","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386075492","doi":"https://doi.org/10.1109/cvpr52729.2023.01931"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.01931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5100555717","display_name":"Zhicheng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhicheng Sun","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028877572","display_name":"Yadong Mu","orcid":"https://orcid.org/0000-0001-7815-3750"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Mu","raw_affiliation_strings":["Peking University","Peng Cheng Laboratory"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081114810","display_name":"Gang Hua","orcid":"https://orcid.org/0000-0001-9522-6157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gang Hua","raw_affiliation_strings":["Wormpex AI Research"],"affiliations":[{"raw_affiliation_string":"Wormpex AI Research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100555717"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":3.3217,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.93745628,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"20166","last_page":"20175"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T12676","display_name":"Machine Learning and ELM","score":0.984000027179718,"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":0.964900016784668,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8303767442703247},{"id":"https://openalex.org/keywords/rehearsing","display_name":"Rehearsing","score":0.758012592792511},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7331637144088745},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6752965450286865},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5172970294952393},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5085710287094116},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4793701469898224},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4569140374660492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4060972034931183}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8303767442703247},{"id":"https://openalex.org/C2910391586","wikidata":"https://www.wikidata.org/wiki/Q1751775","display_name":"Rehearsing","level":2,"score":0.758012592792511},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7331637144088745},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6752965450286865},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5172970294952393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5085710287094116},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4793701469898224},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4569140374660492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4060972034931183},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.01931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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":83,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1989898472","https://openalex.org/W2108598243","https://openalex.org/W2119885577","https://openalex.org/W2194775991","https://openalex.org/W2473930607","https://openalex.org/W2554616628","https://openalex.org/W2560647685","https://openalex.org/W2597603852","https://openalex.org/W2751622739","https://openalex.org/W2796514099","https://openalex.org/W2809090039","https://openalex.org/W2895699061","https://openalex.org/W2902625698","https://openalex.org/W2947285452","https://openalex.org/W2963070594","https://openalex.org/W2963341924","https://openalex.org/W2963390791","https://openalex.org/W2963540014","https://openalex.org/W2963559848","https://openalex.org/W2963813679","https://openalex.org/W2964189064","https://openalex.org/W2967821093","https://openalex.org/W2971176100","https://openalex.org/W2993805018","https://openalex.org/W2995974782","https://openalex.org/W2997199946","https://openalex.org/W3000677656","https://openalex.org/W3030364939","https://openalex.org/W3032949543","https://openalex.org/W3034486793","https://openalex.org/W3091958244","https://openalex.org/W3097784654","https://openalex.org/W3097816393","https://openalex.org/W3118560954","https://openalex.org/W3118608800","https://openalex.org/W3127228978","https://openalex.org/W3168149265","https://openalex.org/W3171975124","https://openalex.org/W3172301219","https://openalex.org/W3202232857","https://openalex.org/W3211384591","https://openalex.org/W3216968833","https://openalex.org/W4211061250","https://openalex.org/W4226301182","https://openalex.org/W4239181501","https://openalex.org/W4283810737","https://openalex.org/W4287814827","https://openalex.org/W4295312788","https://openalex.org/W4295789386","https://openalex.org/W4295883599","https://openalex.org/W4297435780","https://openalex.org/W4298102393","https://openalex.org/W4298116016","https://openalex.org/W4301163820","https://openalex.org/W4319988532","https://openalex.org/W6717697761","https://openalex.org/W6735632633","https://openalex.org/W6738602802","https://openalex.org/W6741087337","https://openalex.org/W6741217325","https://openalex.org/W6742852309","https://openalex.org/W6744102197","https://openalex.org/W6747837551","https://openalex.org/W6752495264","https://openalex.org/W6755950020","https://openalex.org/W6757384668","https://openalex.org/W6763182567","https://openalex.org/W6763462227","https://openalex.org/W6764645560","https://openalex.org/W6766978945","https://openalex.org/W6768044712","https://openalex.org/W6769632207","https://openalex.org/W6771396984","https://openalex.org/W6772110134","https://openalex.org/W6776188292","https://openalex.org/W6778804409","https://openalex.org/W6779630500","https://openalex.org/W6796435857","https://openalex.org/W6797362500","https://openalex.org/W6803011658","https://openalex.org/W6811549060","https://openalex.org/W6843384061"],"related_works":["https://openalex.org/W4293554978","https://openalex.org/W2500826450","https://openalex.org/W2476332567","https://openalex.org/W2104945246","https://openalex.org/W2942509590","https://openalex.org/W4380090295","https://openalex.org/W4244186890","https://openalex.org/W4242157157","https://openalex.org/W2330932240","https://openalex.org/W2346511343"],"abstract_inverted_index":{"Continual":[0],"learning":[1,141],"aims":[2],"to":[3,46,82,121],"learn":[4],"on":[5,22,77,138],"non-stationary":[6],"data":[7],"streams":[8],"without":[9],"catastrophically":[10],"forgetting":[11],"previous":[12],"knowledge.":[13],"Prevalent":[14],"replay-based":[15],"methods":[16],"address":[17],"this":[18],"challenge":[19],"by":[20,63],"rehearsing":[21],"a":[23,32,74,84,110],"small":[24],"buffer":[25,99],"holding":[26],"the":[27,48,51,55,67,97,102,107,134,144],"seen":[28],"data,":[29],"for":[30,132],"which":[31,116],"delicate":[33],"sample":[34],"selection":[35,41,71,103,112],"strategy":[36],"is":[37,114,153],"required.":[38],"However,":[39],"existing":[40],"schemes":[42],"typically":[43],"seek":[44],"only":[45],"maximize":[47],"utility":[49],"of":[50,60,69,87,146],"ongoing":[52],"selection,":[53],"overlooking":[54],"interference":[56],"between":[57],"successive":[58],"rounds":[59],"selection.":[61],"Motivated":[62],"this,":[64],"we":[65,127],"dissect":[66],"interaction":[68],"sequential":[70],"steps":[72],"within":[73],"framework":[75],"built":[76],"influence":[78],"functions.":[79],"We":[80],"manage":[81],"identify":[83],"new":[85],"class":[86],"second-order":[88,108],"influences":[89],"that":[90],"will":[91],"gradually":[92],"amplify":[93],"incidental":[94],"bias":[95],"in":[96],"replay":[98],"and":[100],"compromise":[101],"process.":[104],"To":[105],"regularize":[106],"effects,":[109],"novel":[111],"objective":[113],"proposed,":[115],"also":[117],"has":[118],"clear":[119],"connections":[120],"two":[122],"widely":[123],"adopted":[124],"criteria.":[125],"Furthermore,":[126],"present":[128],"an":[129],"efficient":[130],"implementation":[131],"optimizing":[133],"proposed":[135],"criterion.":[136],"Experiments":[137],"multiple":[139],"continual":[140],"benchmarks":[142],"demonstrate":[143],"advantage":[145],"our":[147],"approach":[148],"over":[149],"state-of-the-art":[150],"methods.":[151],"Code":[152],"available":[154],"at":[155],"https://github.com/feifeiobama/InfluenceCL.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
