{"id":"https://openalex.org/W4402353781","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651144","title":"Representation Space Maintenance: Against Forgetting in Continual Learning","display_name":"Representation Space Maintenance: Against Forgetting in Continual Learning","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353781","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651144"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651144","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010655034","display_name":"Rui Niu","orcid":"https://orcid.org/0000-0002-8599-6374"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Niu","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102869280","display_name":"Zhiyong Wu","orcid":"https://orcid.org/0000-0001-8533-0524"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Wu","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048029954","display_name":"Changhe Song","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhe Song","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14890289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"7"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9836999773979187,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9545999765396118,"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":0.7523094415664673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6875041723251343},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6326279640197754},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5056140422821045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49331775307655334},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3615102767944336},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.09514293074607849},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0737496018409729},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0718235969543457}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7523094415664673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6875041723251343},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6326279640197754},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5056140422821045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49331775307655334},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3615102767944336},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.09514293074607849},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0737496018409729},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0718235969543457},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651144","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1821462560","https://openalex.org/W2188365844","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2592962403","https://openalex.org/W2605911906","https://openalex.org/W2891707612","https://openalex.org/W2963072899","https://openalex.org/W2963559848","https://openalex.org/W2964189064","https://openalex.org/W2972313371","https://openalex.org/W2982220706","https://openalex.org/W2998655644","https://openalex.org/W3000677656","https://openalex.org/W3034368386","https://openalex.org/W3034867292","https://openalex.org/W3082248862","https://openalex.org/W3094953068","https://openalex.org/W3103800629","https://openalex.org/W3107810305","https://openalex.org/W3118608800","https://openalex.org/W3138154797","https://openalex.org/W3184046586","https://openalex.org/W3213234780","https://openalex.org/W4221161784","https://openalex.org/W4225524130","https://openalex.org/W4280554712","https://openalex.org/W4287812705","https://openalex.org/W4287814827","https://openalex.org/W4287823067","https://openalex.org/W4295883599","https://openalex.org/W4312553254","https://openalex.org/W4320013936","https://openalex.org/W6638523607","https://openalex.org/W6639732818","https://openalex.org/W6687045409","https://openalex.org/W6738602802","https://openalex.org/W6741087337","https://openalex.org/W6751591294","https://openalex.org/W6755109808","https://openalex.org/W6761283764","https://openalex.org/W6776188292","https://openalex.org/W6776449760","https://openalex.org/W6776700526","https://openalex.org/W6779133958","https://openalex.org/W6803276101","https://openalex.org/W6810342604","https://openalex.org/W6850439770"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W4310285384","https://openalex.org/W3183027292","https://openalex.org/W4248896073","https://openalex.org/W2974871044"],"abstract_inverted_index":{"The":[0],"main":[1],"purpose":[2],"of":[3,14,26,118],"Continual":[4],"Learning":[5],"is":[6],"to":[7,22,46,59,78,114,133,178],"prevent":[8],"the":[9,15,24,30,41,55,60,75,80,86,91,116,135,158],"catastrophic":[10,96],"forgetting.":[11,97],"A":[12],"number":[13],"recent":[16],"methods":[17],"utilize":[18],"a":[19,44,48,104,131],"replay":[20],"buffer":[21],"keep":[23],"knowledge":[25,81],"previous":[27,33,136,141],"tasks.":[28,72,128],"However,":[29],"data":[31,151],"from":[32],"tasks":[34,120],"may":[35],"be":[36],"limited.":[37],"In":[38],"this":[39,100],"setting,":[40],"model":[42,56,76],"face":[43],"challenge":[45],"strike":[47],"balance":[49],"between":[50],"plasticity":[51],"and":[52,121,152,161,180],"stability.":[53],"If":[54],"becomes":[57],"overfit":[58],"current":[61],"task":[62],"data,":[63],"its":[64],"performance":[65,176],"will":[66,89],"suffer":[67],"when":[68],"faced":[69],"with":[70],"new":[71,87,123,127,145],"Conversely,":[73],"if":[74],"fails":[77],"retain":[79],"it":[82],"has":[83,173],"already":[84],"learned,":[85],"features":[88,117,124,142],"cover":[90],"old":[92,119],"feature,":[93],"resulting":[94],"in":[95,157],"To":[98,139],"address":[99],"issue,":[101],"we":[102,147],"propose":[103],"novel":[105],"method":[106,172],"for":[107],"continual":[108],"learning,":[109],"called":[110],"RSM,":[111],"which":[112],"aims":[113],"maintain":[115,140],"allocate":[122],"while":[125,143],"learning":[126,144,160],"RSM":[129],"utilizes":[130],"CVAE":[132,156],"mimic":[134],"representation":[137,159],"space.":[138],"tasks,":[146],"incorporate":[148],"both":[149],"real":[150],"pseudo-features":[153],"generated":[154],"by":[155],"distillation":[162],"process.":[163],"Experiments":[164],"conducted":[165],"on":[166],"benchmark":[167],"datasets":[168],"show":[169],"that":[170],"our":[171],"demonstrated":[174],"superior":[175],"compared":[177],"replay-free":[179],"replay-based":[181],"methods.":[182]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}