{"id":"https://openalex.org/W2793696582","doi":"https://doi.org/10.1609/aaai.v33i01.33011352","title":"Scalable Recollections for Continual Lifelong Learning","display_name":"Scalable Recollections for Continual Lifelong Learning","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2793696582","doi":"https://doi.org/10.1609/aaai.v33i01.33011352","mag":"2793696582"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33011352","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011352","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3935/3813","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3935/3813","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037927240","display_name":"Matthew Riemer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthew Riemer","raw_affiliation_strings":["IBM Research","IBM research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]},{"raw_affiliation_string":"IBM research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074288533","display_name":"Tim Klinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tim Klinger","raw_affiliation_strings":["IBM Research","IBM research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]},{"raw_affiliation_string":"IBM research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055394860","display_name":"Djallel Bouneffouf","orcid":"https://orcid.org/0000-0003-3342-7513"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Djallel Bouneffouf","raw_affiliation_strings":["IBM Research","IBM research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]},{"raw_affiliation_string":"IBM research","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111881770","display_name":"Michele Franceschini","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michele Franceschini","raw_affiliation_strings":["IBM Research","IBM research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]},{"raw_affiliation_string":"IBM research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2656,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.58227634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"33","issue":"01","first_page":"1352","last_page":"1359"},"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":0.9878000020980835,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9793999791145325,"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":0.8865216374397278},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7811557054519653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7760531306266785},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6251815557479858},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6160943508148193},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5348602533340454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4970848858356476},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4593281149864197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39988693594932556},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3820984363555908},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1524541676044464},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09070006012916565},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08138513565063477}],"concepts":[{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.8865216374397278},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7811557054519653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7760531306266785},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6251815557479858},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6160943508148193},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5348602533340454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4970848858356476},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4593281149864197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39988693594932556},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3820984363555908},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1524541676044464},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09070006012916565},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08138513565063477},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1609/aaai.v33i01.33011352","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011352","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3935/3813","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1711.06761","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.06761","pdf_url":"https://arxiv.org/pdf/1711.06761","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2793696582","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1711.06761","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1711.06761","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1711.06761","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33011352","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011352","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3935/3813","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2793696582.pdf","grobid_xml":"https://content.openalex.org/works/W2793696582.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W10548402","https://openalex.org/W1523640856","https://openalex.org/W1535804263","https://openalex.org/W1682403713","https://openalex.org/W1821462560","https://openalex.org/W1959608418","https://openalex.org/W1995681526","https://openalex.org/W2047057213","https://openalex.org/W2112796928","https://openalex.org/W2113132656","https://openalex.org/W2116522068","https://openalex.org/W2119885577","https://openalex.org/W2141559645","https://openalex.org/W2145339207","https://openalex.org/W2178031510","https://openalex.org/W2201581102","https://openalex.org/W2204293552","https://openalex.org/W2296073425","https://openalex.org/W2296701362","https://openalex.org/W2401823607","https://openalex.org/W2407277018","https://openalex.org/W2424347275","https://openalex.org/W2426267443","https://openalex.org/W2436711315","https://openalex.org/W2547875792","https://openalex.org/W2548228487","https://openalex.org/W2560512785","https://openalex.org/W2560647685","https://openalex.org/W2583761661","https://openalex.org/W2587284713","https://openalex.org/W2593021375","https://openalex.org/W2594466397","https://openalex.org/W2604342492","https://openalex.org/W2604587608","https://openalex.org/W2605801332","https://openalex.org/W2611778843","https://openalex.org/W2612017161","https://openalex.org/W2617118670","https://openalex.org/W2618767506","https://openalex.org/W2744654301","https://openalex.org/W2751791039","https://openalex.org/W2762872434","https://openalex.org/W2953044442","https://openalex.org/W2962724315","https://openalex.org/W2963540014","https://openalex.org/W2964043796","https://openalex.org/W3038130178","https://openalex.org/W3103014337","https://openalex.org/W3140239133","https://openalex.org/W6640963894","https://openalex.org/W6649412850","https://openalex.org/W6678358752","https://openalex.org/W6713057566","https://openalex.org/W6720711607","https://openalex.org/W6729448088","https://openalex.org/W6730998768","https://openalex.org/W6734330393","https://openalex.org/W6738602802","https://openalex.org/W6999387429"],"related_works":["https://openalex.org/W3165631200","https://openalex.org/W2121736818","https://openalex.org/W3202099651","https://openalex.org/W3156887649","https://openalex.org/W2296212956","https://openalex.org/W2546571074","https://openalex.org/W3172386501","https://openalex.org/W2560186857","https://openalex.org/W2951162110","https://openalex.org/W2969231383","https://openalex.org/W1618761262","https://openalex.org/W2581859532","https://openalex.org/W1971690354","https://openalex.org/W2767124462","https://openalex.org/W3154061550","https://openalex.org/W1600200312","https://openalex.org/W2958095304","https://openalex.org/W3134238439","https://openalex.org/W2938217008","https://openalex.org/W2766864503"],"abstract_inverted_index":{"Given":[0],"the":[1,23,36,93,109,126],"recent":[2],"success":[3],"of":[4,11,26,31,45,99,111,116],"Deep":[5],"Learning":[6],"applied":[7],"to":[8,17,138],"a":[9,42],"variety":[10],"single":[12],"tasks,":[13],"it":[14,59,66,71,75],"is":[15,29],"natural":[16],"consider":[18,108,125],"more":[19],"human-realistic":[20],"settings.":[21],"Perhaps":[22],"most":[24],"difficult":[25],"these":[27],"settings":[28],"that":[30],"continual":[32,50],"lifelong":[33,51],"learning,":[34],"where":[35,128],"model":[37],"must":[38,54,60,67,76],"learn":[39,61],"online":[40],"over":[41,64,118],"continuous":[43],"stream":[44],"non-stationary":[46],"data.":[47],"A":[48],"successful":[49],"learning":[52],"system":[53],"have":[55,87],"three":[56],"key":[57],"capabilities:":[58],"and":[62,74,83,113,134],"adapt":[63],"time,":[65],"not":[68],"forget":[69],"what":[70],"has":[72],"learned,":[73],"be":[77],"efficient":[78,112],"in":[79],"both":[80],"training":[81],"time":[82],"memory.":[84],"Recent":[85],"techniques":[86],"focused":[88],"their":[89],"efforts":[90],"primarily":[91],"on":[92],"first":[94],"two":[95],"capabilities":[96],"while":[97],"questions":[98],"efficiency":[100],"remain":[101],"largely":[102],"unexplored.":[103],"In":[104,122],"this":[105],"paper,":[106],"we":[107,124],"problem":[110],"effective":[114],"storage":[115],"experiences":[117,130],"very":[119],"large":[120],"time-frames.":[121],"particular":[123],"case":[127],"typical":[129],"are":[131,136],"O(n)":[132],"bits":[133,140],"memories":[135],"limited":[137],"O(k)":[139],"for":[141],"k":[142]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}