{"id":"https://openalex.org/W4396680518","doi":"https://doi.org/10.1109/tmm.2024.3397048","title":"Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship","display_name":"Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396680518","doi":"https://doi.org/10.1109/tmm.2024.3397048"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3397048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3397048","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/A5087684464","display_name":"Quanziang Wang","orcid":"https://orcid.org/0000-0003-3279-0396"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanziang Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3279-0396","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028789332","display_name":"Renzhen Wang","orcid":"https://orcid.org/0000-0001-9014-5091"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renzhen Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-9014-5091","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101710180","display_name":"Yuexiang Li","orcid":"https://orcid.org/0000-0001-8076-2619"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexiang Li","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8076-2619","affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101459790","display_name":"Dong Wei","orcid":"https://orcid.org/0000-0001-5969-6987"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wei","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5969-6987","affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370943","display_name":"Hong Wang","orcid":"https://orcid.org/0000-0002-6520-7681"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6520-7681","affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621577","display_name":"Kai Ma","orcid":"https://orcid.org/0000-0003-2805-3692"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Ma","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2805-3692","affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Tencent Jarvis Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2195-2847","affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091017287","display_name":"Deyu Meng","orcid":"https://orcid.org/0000-0002-1294-8283"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Deyu Meng","raw_affiliation_strings":["School of Mathematics and Statistics and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","Macao Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macao"],"raw_orcid":"https://orcid.org/0000-0002-1294-8283","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Macao Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macao","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2686,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94716791,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"9683","last_page":"9698"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.992900013923645,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9060999751091003,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8605669736862183},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.7210763692855835},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6508806347846985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.638443112373352},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5864356756210327},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5645643472671509},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5322715044021606},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48307469487190247},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.45395392179489136},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.42991384863853455},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24395328760147095},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08552291989326477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8605669736862183},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7210763692855835},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6508806347846985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.638443112373352},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5864356756210327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5645643472671509},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5322715044021606},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48307469487190247},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.45395392179489136},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.42991384863853455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24395328760147095},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08552291989326477},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3397048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3397048","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1563795667","https://openalex.org/W1682403713","https://openalex.org/W2036963181","https://openalex.org/W2116522068","https://openalex.org/W2144219012","https://openalex.org/W2153225416","https://openalex.org/W2194775991","https://openalex.org/W2473930607","https://openalex.org/W2560023338","https://openalex.org/W2560647685","https://openalex.org/W2583761661","https://openalex.org/W2794363191","https://openalex.org/W2899771611","https://openalex.org/W2948734064","https://openalex.org/W2963072899","https://openalex.org/W2963150697","https://openalex.org/W2964189064","https://openalex.org/W3000677656","https://openalex.org/W3018757597","https://openalex.org/W3030364939","https://openalex.org/W3034601242","https://openalex.org/W3034867292","https://openalex.org/W3035342403","https://openalex.org/W3118608800","https://openalex.org/W3168149265","https://openalex.org/W3171888599","https://openalex.org/W3174101157","https://openalex.org/W3180392831","https://openalex.org/W3187986157","https://openalex.org/W3204340584","https://openalex.org/W3207810231","https://openalex.org/W4214924370","https://openalex.org/W4225922183","https://openalex.org/W4226134030","https://openalex.org/W4293584584","https://openalex.org/W4296916378","https://openalex.org/W4312447529","https://openalex.org/W4319653960","https://openalex.org/W4319988532","https://openalex.org/W4390873011","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6633802082","https://openalex.org/W6637373629","https://openalex.org/W6732467815","https://openalex.org/W6741087337","https://openalex.org/W6741217325","https://openalex.org/W6745121187","https://openalex.org/W6747837551","https://openalex.org/W6750222692","https://openalex.org/W6750227808","https://openalex.org/W6750523955","https://openalex.org/W6751591294","https://openalex.org/W6756040250","https://openalex.org/W6757384668","https://openalex.org/W6763430915","https://openalex.org/W6764645560","https://openalex.org/W6776188292","https://openalex.org/W6777046832","https://openalex.org/W6787972765","https://openalex.org/W6788257161","https://openalex.org/W6803440275","https://openalex.org/W6810342604","https://openalex.org/W6842128217","https://openalex.org/W6849896277","https://openalex.org/W6849934282"],"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":{"Continual":[0],"learning":[1,6,110],"is":[2,136],"a":[3,28,37,108,125],"promising":[4],"machine":[5],"paradigm":[7],"to":[8,112,123],"learn":[9],"new":[10,60,75,140],"tasks":[11,35],"while":[12,142],"retaining":[13],"previously":[14,49,144],"learned":[15,50,145],"knowledge":[16,141,147],"over":[17],"streaming":[18],"training":[19,87],"data.":[20],"Till":[21],"now,":[22],"<italic":[23],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[24],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">rehearsal-based</i>":[25],"methods,":[26],"keeping":[27],"small":[29],"part":[30],"of":[31,54,138,181],"data":[32],"from":[33],"old":[34,73,146],"as":[36],"memory":[38],"buffer,":[39],"have":[40],"shown":[41],"good":[42],"performance":[43,93,180],"in":[44,84,91],"mitigating":[45],"catastrophic":[46],"forgetting":[47],"for":[48],"knowledge.":[51],"However,":[52],"most":[53],"these":[55,78],"methods":[56,79],"typically":[57],"treat":[58],"each":[59,121],"task":[61,122],"equally,":[62],"which":[63],"may":[64],"not":[65],"adequately":[66],"consider":[67],"the":[68,85,133,173,179],"relationship":[69],"or":[70],"similarity":[71],"between":[72],"and":[74,89,117,128,161,164,169,184],"tasks.":[76,96],"Furthermore,":[77],"commonly":[80],"neglect":[81],"sample":[82,118],"importance":[83,119],"continual":[86,149],"process":[88],"result":[90],"sub-optimal":[92],"on":[94,154],"certain":[95],"To":[97],"address":[98],"this":[99],"challenging":[100],"problem,":[101],"we":[102],"propose":[103],"Relational":[104],"Experience":[105],"Replay":[106],"(RER),":[107],"bi-level":[109],"framework,":[111],"adaptively":[113],"tune":[114],"task-wise":[115],"relationships":[116],"within":[120],"achieve":[124],"better":[126],"\u2018stability\u2019":[127],"\u2018plasticity\u2019":[129],"trade-off.":[130],"As":[131],"such,":[132],"proposed":[134,174],"method":[135,175],"capable":[137],"accumulating":[139],"consolidating":[143],"during":[148],"learning.":[150],"Extensive":[151],"experiments":[152],"conducted":[153],"three":[155],"benchmark":[156],"image":[157],"datasets":[158,167],"(CIFAR-10,":[159],"CIFAR-100,":[160],"Tiny":[162],"ImageNet)":[163],"two":[165],"text":[166],"(20News":[168],"DBpedia)":[170],"show":[171],"that":[172],"can":[176],"consistently":[177],"improve":[178],"all":[182],"baselines":[183],"surpass":[185],"current":[186],"state-of-the-art":[187],"methods.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-10-10T00:00:00"}
