{"id":"https://openalex.org/W3048295731","doi":"https://doi.org/10.1109/tnnls.2020.3010581","title":"Incremental Concept Learning via Online Generative Memory Recall","display_name":"Incremental Concept Learning via Online Generative Memory Recall","publication_year":2020,"publication_date":"2020-08-06","ids":{"openalex":"https://openalex.org/W3048295731","doi":"https://doi.org/10.1109/tnnls.2020.3010581","mag":"3048295731","pmid":"https://pubmed.ncbi.nlm.nih.gov/32759086"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3010581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3010581","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101533979","display_name":"Huaiyu Li","orcid":"https://orcid.org/0000-0001-5409-5648"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaiyu Li","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5409-5648","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069298091","display_name":"Weiming Dong","orcid":"https://orcid.org/0000-0001-6502-145X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Dong","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6502-145X","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019329695","display_name":"Bao-Gang Hu","orcid":"https://orcid.org/0000-0002-6916-5394"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao-Gang Hu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6916-5394","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5469,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91469389,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"32","issue":"7","first_page":"3206","last_page":"3216"},"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":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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/forgetting","display_name":"Forgetting","score":0.9618945121765137},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.8565903306007385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7342559695243835},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.6490274667739868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6083455085754395},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.503119170665741},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4891684353351593},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4872788190841675},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.48300492763519287},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4575454592704773},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08636045455932617}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.9618945121765137},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8565903306007385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7342559695243835},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.6490274667739868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6083455085754395},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.503119170665741},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4891684353351593},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4872788190841675},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.48300492763519287},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4575454592704773},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08636045455932617},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003210","descriptor_name":"Concept Formation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003210","descriptor_name":"Concept Formation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003210","descriptor_name":"Concept Formation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009862","descriptor_name":"Online Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009862","descriptor_name":"Online Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009862","descriptor_name":"Online Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011939","descriptor_name":"Mental Recall","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011939","descriptor_name":"Mental Recall","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011939","descriptor_name":"Mental Recall","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3010581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3010581","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32759086","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32759086","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1873612269","display_name":null,"funder_award_id":"61720106006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G218446226","display_name":null,"funder_award_id":"61672520","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2968709009","display_name":null,"funder_award_id":"2018AAA0101005","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7596092009","display_name":"\u57fa\u4e8e\u89c6\u89c9\u8ba4\u77e5\u7684\u53ef\u89c6\u5a92\u4f53\u5408\u6210\u4e0e\u8bc4\u4ef7","funder_award_id":"61832016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1528982213","https://openalex.org/W1681844354","https://openalex.org/W1682403713","https://openalex.org/W1782804218","https://openalex.org/W1793121960","https://openalex.org/W1821462560","https://openalex.org/W1959608418","https://openalex.org/W1979631293","https://openalex.org/W2004963814","https://openalex.org/W2017561954","https://openalex.org/W2047057213","https://openalex.org/W2060277733","https://openalex.org/W2116522068","https://openalex.org/W2335728318","https://openalex.org/W2426267443","https://openalex.org/W2473930607","https://openalex.org/W2474280151","https://openalex.org/W2520774990","https://openalex.org/W2523246573","https://openalex.org/W2560258536","https://openalex.org/W2560647685","https://openalex.org/W2593414223","https://openalex.org/W2594833348","https://openalex.org/W2597948870","https://openalex.org/W2605043629","https://openalex.org/W2734314755","https://openalex.org/W2737492962","https://openalex.org/W2750384547","https://openalex.org/W2765895026","https://openalex.org/W2785678896","https://openalex.org/W2786498526","https://openalex.org/W2788388592","https://openalex.org/W2804078698","https://openalex.org/W2884282566","https://openalex.org/W2892234010","https://openalex.org/W2894094671","https://openalex.org/W2899771611","https://openalex.org/W2902625698","https://openalex.org/W2948336998","https://openalex.org/W2948734064","https://openalex.org/W2949995560","https://openalex.org/W2950527759","https://openalex.org/W2951008357","https://openalex.org/W2954929116","https://openalex.org/W2962690101","https://openalex.org/W2962724315","https://openalex.org/W2962879692","https://openalex.org/W2963305465","https://openalex.org/W2963540014","https://openalex.org/W2963559848","https://openalex.org/W2963836885","https://openalex.org/W2964121744","https://openalex.org/W2964189064","https://openalex.org/W3013325675","https://openalex.org/W3113238341","https://openalex.org/W4289549433","https://openalex.org/W4295521014","https://openalex.org/W4295883599","https://openalex.org/W4301163820","https://openalex.org/W4303633609","https://openalex.org/W4319988532","https://openalex.org/W6631190155","https://openalex.org/W6637863980","https://openalex.org/W6638318767","https://openalex.org/W6638523607","https://openalex.org/W6640963894","https://openalex.org/W6684821475","https://openalex.org/W6703116779","https://openalex.org/W6720926796","https://openalex.org/W6726946684","https://openalex.org/W6727249380","https://openalex.org/W6735913928","https://openalex.org/W6736334413","https://openalex.org/W6738602802","https://openalex.org/W6741217325","https://openalex.org/W6742852309","https://openalex.org/W6743688258","https://openalex.org/W6745563435","https://openalex.org/W6748453352","https://openalex.org/W6748582592","https://openalex.org/W6752378368","https://openalex.org/W6753186638","https://openalex.org/W6755215958","https://openalex.org/W6756040250","https://openalex.org/W6757384668","https://openalex.org/W6763000130","https://openalex.org/W6779669310","https://openalex.org/W6849896277"],"related_works":["https://openalex.org/W3197982909","https://openalex.org/W4365815255","https://openalex.org/W4286986507","https://openalex.org/W2039663730","https://openalex.org/W4287067590","https://openalex.org/W4392931078","https://openalex.org/W3186262193","https://openalex.org/W3192176272","https://openalex.org/W4297634446","https://openalex.org/W4391158518"],"abstract_inverted_index":{"The":[0,46],"ability":[1],"to":[2,103,113,129,151],"learn":[3,104],"more":[4],"concepts":[5,32,106,132],"from":[6,28],"incrementally":[7,66],"arriving":[8],"data":[9,56,171],"over":[10],"time":[11],"is":[12,39,52],"essential":[13],"for":[14,49],"the":[15,42,115,123,153,162,166,183],"development":[16],"of":[17,91,117,156,185],"a":[18,92,97,110,145],"lifelong":[19],"learning":[20,35,67,78],"system.":[21],"However,":[22],"deep":[23],"neural":[24,61,118],"networks":[25],"often":[26],"suffer":[27],"forgetting":[29,44,51,125],"previously":[30],"learned":[31],"when":[33],"continually":[34],"new":[36,68,105,141],"concepts,":[37],"which":[38,89],"known":[40],"as":[41],"catastrophic":[43,50,124],"problem.":[45],"main":[47],"reason":[48],"that":[53,80],"past":[54],"concept":[55,77,99,158],"are":[57,63],"not":[58],"available,":[59],"and":[60,86,96,121,134,169,173],"weights":[62],"changed":[64],"during":[65],"concepts.":[69,142],"In":[70],"this":[71],"article,":[72],"we":[73],"propose":[74,109,144],"an":[75],"incremental":[76],"framework":[79],"includes":[81],"two":[82],"components,":[83],"namely,":[84],"ICLNet":[85,139],"RecallNet.":[87],"ICLNet,":[88],"consists":[90],"trainable":[93],"feature":[94],"extractor":[95],"dynamic":[98],"memory":[100,133,148],"matrix,":[101],"aims":[102,128],"incrementally.":[107],"We":[108,143,160],"concept-contrastive":[111],"loss":[112,155],"alleviate":[114],"magnitude":[116],"weight":[119],"changes":[120],"mitigate":[122],"problems.":[126],"RecallNet":[127],"consolidate":[130],"old":[131,157],"recall":[135,149],"pseudo":[136],"samples,":[137],"whereas":[138],"learns":[140],"balanced":[146],"online":[147],"strategy":[150],"reduce":[152],"information":[154],"memory.":[159],"evaluate":[161],"proposed":[163],"approach":[164],"on":[165],"MNIST,":[167],"Fashion-MNIST,":[168],"SVHN":[170],"sets":[172],"compare":[174],"it":[175],"with":[176],"other":[177],"pseudorehearsal-based":[178],"approaches.":[179],"Extensive":[180],"experiments":[181],"demonstrate":[182],"effectiveness":[184],"our":[186],"approach.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
