{"id":"https://openalex.org/W2965316269","doi":"https://doi.org/10.1109/tnnls.2019.2927369","title":"Generative Memory for Lifelong Learning","display_name":"Generative Memory for Lifelong Learning","publication_year":2019,"publication_date":"2019-08-05","ids":{"openalex":"https://openalex.org/W2965316269","doi":"https://doi.org/10.1109/tnnls.2019.2927369","mag":"2965316269","pmid":"https://pubmed.ncbi.nlm.nih.gov/31395557"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2927369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2927369","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/A5100640055","display_name":"Xin Su","orcid":"https://orcid.org/0000-0002-5979-8702"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"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":"Xin Su","raw_affiliation_strings":["Beijing Innovation Center for Future Chip, Beijing, China","Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","LSBDPA Beijing Key Laboratory, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5979-8702","affiliations":[{"raw_affiliation_string":"Beijing Innovation Center for Future Chip, Beijing, China","institution_ids":["https://openalex.org/I4210165198"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"LSBDPA Beijing Key Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048321911","display_name":"Shangqi Guo","orcid":"https://orcid.org/0000-0003-3181-6881"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"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":"Shangqi Guo","raw_affiliation_strings":["Beijing Innovation Center for Future Chip, Beijing, China","Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","LSBDPA Beijing Key Laboratory, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3181-6881","affiliations":[{"raw_affiliation_string":"Beijing Innovation Center for Future Chip, Beijing, China","institution_ids":["https://openalex.org/I4210165198"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"LSBDPA Beijing Key Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101667380","display_name":"Tian Tan","orcid":"https://orcid.org/0000-0001-9173-2984"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Tan","raw_affiliation_strings":["Stanford University, Stanford, USA"],"raw_orcid":"https://orcid.org/0000-0001-9173-2984","affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352754","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0003-4813-2494"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"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":"Feng Chen","raw_affiliation_strings":["Beijing Innovation Center for Future Chip, Beijing, China","Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","LSBDPA Beijing Key Laboratory, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4813-2494","affiliations":[{"raw_affiliation_string":"Beijing Innovation Center for Future Chip, Beijing, China","institution_ids":["https://openalex.org/I4210165198"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"LSBDPA Beijing Key Laboratory, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6943,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88301109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"31","issue":"6","first_page":"1884","last_page":"1898"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9969000220298767,"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":0.9929999709129333,"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/lifelong-learning","display_name":"Lifelong learning","score":0.8679898977279663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7441698908805847},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.7129070162773132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5910434126853943},{"id":"https://openalex.org/keywords/instance-based-learning","display_name":"Instance-based learning","score":0.5173772573471069},{"id":"https://openalex.org/keywords/sequence-learning","display_name":"Sequence learning","score":0.48141738772392273},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.45029541850090027},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.41148635745048523},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3967755436897278},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.3312760889530182},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.11834537982940674},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11403682827949524}],"concepts":[{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.8679898977279663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7441698908805847},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.7129070162773132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5910434126853943},{"id":"https://openalex.org/C24138899","wikidata":"https://www.wikidata.org/wiki/Q17141258","display_name":"Instance-based learning","level":3,"score":0.5173772573471069},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.48141738772392273},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.45029541850090027},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.41148635745048523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3967755436897278},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.3312760889530182},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.11834537982940674},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11403682827949524},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2019.2927369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2927369","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:31395557","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31395557","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/G6940069345","display_name":null,"funder_award_id":"20161080084","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"},{"id":"https://openalex.org/G7861851748","display_name":"\u901a\u7528\u7c7b\u8111\u8ba1\u7b97\u67b6\u6784\u6a21\u578b\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61836004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8260862593","display_name":"\u57fa\u4e8e\u6982\u7387\u56fe\u6a21\u578b\u7684\u5927\u89c4\u6a21\u89c6\u89c9\u76ae\u5c42\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u673a\u7406\u7814\u7a76","funder_award_id":"61671266","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/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W385466589","https://openalex.org/W1494474274","https://openalex.org/W1519626139","https://openalex.org/W1525859397","https://openalex.org/W1677182931","https://openalex.org/W1682403713","https://openalex.org/W1977544285","https://openalex.org/W1991564165","https://openalex.org/W2047057213","https://openalex.org/W2053308210","https://openalex.org/W2060277733","https://openalex.org/W2067840211","https://openalex.org/W2087404956","https://openalex.org/W2095705004","https://openalex.org/W2099049980","https://openalex.org/W2099471712","https://openalex.org/W2101493843","https://openalex.org/W2112796928","https://openalex.org/W2113839990","https://openalex.org/W2116522068","https://openalex.org/W2120501001","https://openalex.org/W2125389028","https://openalex.org/W2129462326","https://openalex.org/W2145339207","https://openalex.org/W2150595230","https://openalex.org/W2174786457","https://openalex.org/W2257979135","https://openalex.org/W2335728318","https://openalex.org/W2401932923","https://openalex.org/W2411468300","https://openalex.org/W2424347275","https://openalex.org/W2426267443","https://openalex.org/W2473930607","https://openalex.org/W2560258536","https://openalex.org/W2560647685","https://openalex.org/W2577677077","https://openalex.org/W2583761661","https://openalex.org/W2605043629","https://openalex.org/W2737492962","https://openalex.org/W2738724892","https://openalex.org/W2743151379","https://openalex.org/W2771964490","https://openalex.org/W2804175194","https://openalex.org/W2885949783","https://openalex.org/W2949995560","https://openalex.org/W2962879692","https://openalex.org/W2963038864","https://openalex.org/W2963156511","https://openalex.org/W2963559848","https://openalex.org/W2963560049","https://openalex.org/W2963850662","https://openalex.org/W2964067969","https://openalex.org/W2964189064","https://openalex.org/W3118608800","https://openalex.org/W4295521014","https://openalex.org/W4298174377","https://openalex.org/W4301163820","https://openalex.org/W4319988532","https://openalex.org/W4320013936","https://openalex.org/W6631089601","https://openalex.org/W6631621112","https://openalex.org/W6674330103","https://openalex.org/W6674859346","https://openalex.org/W6677258307","https://openalex.org/W6677850982","https://openalex.org/W6678815747","https://openalex.org/W6685726866","https://openalex.org/W6703116779","https://openalex.org/W6732467815","https://openalex.org/W6735913928","https://openalex.org/W6736334413","https://openalex.org/W6738602802","https://openalex.org/W6741217325","https://openalex.org/W6742921865","https://openalex.org/W6746643698","https://openalex.org/W6751591294","https://openalex.org/W6753859023","https://openalex.org/W6779669310","https://openalex.org/W6787972765","https://openalex.org/W6849896277"],"related_works":["https://openalex.org/W184546935","https://openalex.org/W146740654","https://openalex.org/W2131495543","https://openalex.org/W2037866349","https://openalex.org/W2021806873","https://openalex.org/W4299830350","https://openalex.org/W3179999069","https://openalex.org/W2106701323","https://openalex.org/W2909115059","https://openalex.org/W2097814353"],"abstract_inverted_index":{"Lifelong":[0],"learning":[1,13,24,46,78,97,104,127,147],"is":[2,48,80],"a":[3,70,95,115],"crucial":[4],"issue":[5],"in":[6],"advanced":[7],"artificial":[8],"intelligence.":[9],"It":[10,106],"requires":[11],"the":[12,38,49,55,75,84,90,108,111,118,126,134,142],"system":[14,25,47,79,128],"to":[15,27,40,51,82,100,129],"learn":[16],"and":[17,33,43,53,74,131],"accumulate":[18,133],"knowledge":[19,57],"from":[20],"sequential":[21],"tasks.":[22,34,148],"The":[23],"needs":[26],"deal":[28],"with":[29],"increasingly":[30],"more":[31],"domains":[32],"We":[35,137],"consider":[36],"that":[37,139],"key":[39],"an":[41],"effective":[42],"efficient":[44],"lifelong":[45,77,146],"ability":[50],"memorize":[52],"recall":[54],"learned":[56,135],"using":[58],"neural":[59],"networks.":[60],"Following":[61],"this":[62],"idea,":[63],"we":[64,93],"propose":[65,94],"Generative":[66],"Memory":[67],"(GM)":[68],"as":[69,83,101],"novel":[71,96],"memory":[72,109,116],"module,":[73],"resulting":[76],"referred":[81,99],"GM":[85],"Net":[86],"(GMNet).":[87],"To":[88],"make":[89],"GMNet":[91,140],"feasible,":[92],"mechanism,":[98],"P":[102],"-invariant":[103],"method.":[105],"replaces":[107],"of":[110,117],"real":[112],"data":[113,119],"by":[114],"distribution,":[120],"which":[121],"makes":[122],"it":[123],"possible":[124],"for":[125],"accurately":[130],"continuously":[132],"experiences.":[136],"demonstrate":[138],"achieves":[141],"state-of-the-art":[143],"performance":[144],"on":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}