{"id":"https://openalex.org/W2968596670","doi":"https://doi.org/10.1109/icra.2019.8793982","title":"Memory Efficient Experience Replay for Streaming Learning","display_name":"Memory Efficient Experience Replay for Streaming Learning","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2968596670","doi":"https://doi.org/10.1109/icra.2019.8793982","mag":"2968596670"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2019.8793982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8793982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","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/A5030503283","display_name":"Tyler L. Hayes","orcid":"https://orcid.org/0000-0002-0875-7994"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tyler L. Hayes","raw_affiliation_strings":["Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075373448","display_name":"Nathan D. Cahill","orcid":"https://orcid.org/0000-0002-6164-3291"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan D. Cahill","raw_affiliation_strings":["Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046979072","display_name":"Christopher Kanan","orcid":"https://orcid.org/0000-0002-6412-995X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Kanan","raw_affiliation_strings":["Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":202,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9769","last_page":"9776"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9962999820709229,"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":0.9529464244842529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8459316492080688},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.548225462436676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5456013679504395},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.5202418565750122},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.5128960609436035},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.5059913992881775},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48308494687080383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45462560653686523},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4368160665035248},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11819171905517578},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08876147866249084}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.9529464244842529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8459316492080688},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.548225462436676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5456013679504395},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.5202418565750122},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.5128960609436035},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.5059913992881775},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48308494687080383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45462560653686523},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4368160665035248},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11819171905517578},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08876147866249084},{"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/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2019.8793982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8793982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W37489049","https://openalex.org/W182707955","https://openalex.org/W212388907","https://openalex.org/W1516923404","https://openalex.org/W1525647652","https://openalex.org/W1525859397","https://openalex.org/W1543387779","https://openalex.org/W1682403713","https://openalex.org/W1747560487","https://openalex.org/W1797268635","https://openalex.org/W1971022913","https://openalex.org/W1975852288","https://openalex.org/W1975898250","https://openalex.org/W1979631293","https://openalex.org/W1982610692","https://openalex.org/W2000454347","https://openalex.org/W2006685053","https://openalex.org/W2009727399","https://openalex.org/W2010657328","https://openalex.org/W2015857587","https://openalex.org/W2016159616","https://openalex.org/W2038624061","https://openalex.org/W2047057213","https://openalex.org/W2048442462","https://openalex.org/W2060277733","https://openalex.org/W2068714596","https://openalex.org/W2069816994","https://openalex.org/W2075457099","https://openalex.org/W2079582948","https://openalex.org/W2092335550","https://openalex.org/W2093825590","https://openalex.org/W2095897464","https://openalex.org/W2098409105","https://openalex.org/W2099302642","https://openalex.org/W2103753221","https://openalex.org/W2117487426","https://openalex.org/W2117539524","https://openalex.org/W2119885577","https://openalex.org/W2122838776","https://openalex.org/W2123297508","https://openalex.org/W2141245797","https://openalex.org/W2141559645","https://openalex.org/W2142248489","https://openalex.org/W2143386621","https://openalex.org/W2166280719","https://openalex.org/W2170936641","https://openalex.org/W2171809276","https://openalex.org/W2194775991","https://openalex.org/W2215569344","https://openalex.org/W2220402431","https://openalex.org/W2230553583","https://openalex.org/W2343620495","https://openalex.org/W2401932923","https://openalex.org/W2404779194","https://openalex.org/W2560647685","https://openalex.org/W2583761661","https://openalex.org/W2585528949","https://openalex.org/W2594880031","https://openalex.org/W2594940144","https://openalex.org/W2604457090","https://openalex.org/W2626498001","https://openalex.org/W2734314755","https://openalex.org/W2737492962","https://openalex.org/W2743151379","https://openalex.org/W2771964490","https://openalex.org/W2794042007","https://openalex.org/W2962724315","https://openalex.org/W2962774976","https://openalex.org/W2962884963","https://openalex.org/W2963038864","https://openalex.org/W2963560049","https://openalex.org/W2963798749","https://openalex.org/W2964151081","https://openalex.org/W2964189064","https://openalex.org/W3021931813","https://openalex.org/W4235130247","https://openalex.org/W4244998381","https://openalex.org/W4295883599","https://openalex.org/W4301163820","https://openalex.org/W4301365964","https://openalex.org/W4399607284","https://openalex.org/W4399637052","https://openalex.org/W6631621112","https://openalex.org/W6685747873","https://openalex.org/W6689350091","https://openalex.org/W6732467815","https://openalex.org/W6737377802","https://openalex.org/W6741217325","https://openalex.org/W6742921865","https://openalex.org/W6746643698","https://openalex.org/W6752492707","https://openalex.org/W6869842867","https://openalex.org/W6869848725"],"related_works":["https://openalex.org/W4389449520","https://openalex.org/W4246591448","https://openalex.org/W2060628068","https://openalex.org/W2167004500","https://openalex.org/W3208495060","https://openalex.org/W2801575137","https://openalex.org/W2235038291","https://openalex.org/W1658774705","https://openalex.org/W25382803","https://openalex.org/W2277307313"],"abstract_inverted_index":{"In":[0,35],"supervised":[1],"machine":[2],"learning,":[3,41],"an":[4],"agent":[5],"is":[6,44,105,122,130],"typically":[7],"trained":[8,45],"once":[9],"and":[10,26,62,89,118,132,142,166,195],"then":[11,119],"deployed.":[12],"While":[13],"this":[14,36,120],"works":[15],"well":[16,190],"for":[17,77,145,162],"static":[18],"settings,":[19,186],"robots":[20],"often":[21],"operate":[22],"in":[23,47,153,180],"changing":[24],"environments":[25],"must":[27],"quickly":[28],"learn":[29,108],"new":[30,110],"things":[31],"from":[32,51],"data":[33,53,92],"streams.":[34],"paradigm,":[37],"known":[38],"as":[39],"streaming":[40,184],"a":[42,48,52,109,181],"learner":[43],"online,":[46],"single":[49],"pass,":[50],"stream":[54],"that":[55,173],"cannot":[56],"be":[57,60],"assumed":[58],"to":[59,75,100,124,169],"independent":[61],"identically":[63],"distributed":[64],"(iid).":[65],"Streaming":[66],"learning":[67,185],"will":[68,93],"cause":[69,94],"conventional":[70],"deep":[71],"neural":[72],"networks":[73],"(DNNs)":[74],"fail":[76],"two":[78],"reasons:":[79],"1)":[80],"they":[81],"need":[82],"multiple":[83],"passes":[84],"through":[85],"the":[86,126,159],"entire":[87],"dataset;":[88],"2)":[90],"non-iid":[91],"catastrophic":[95,147,178],"forgetting.":[96],"An":[97],"old":[98],"fix":[99],"both":[101],"of":[102,183],"these":[103],"issues":[104],"rehearsal.":[106],"To":[107],"example,":[111],"rehearsal":[112,129,165,175],"mixes":[113],"it":[114,136,168],"with":[115,187],"previous":[116],"examples,":[117,141],"mixture":[121],"used":[123],"update":[125],"DNN.":[127],"Full":[128],"slow":[131],"memory":[133,163,194],"intensive":[134],"because":[135],"stores":[137],"all":[138],"previously":[139],"observed":[140],"its":[143],"effectiveness":[144],"preventing":[146],"forgetting":[148,179],"has":[149],"not":[150],"been":[151],"studied":[152],"modern":[154],"DNNs.":[155],"Here,":[156],"we":[157],"describe":[158],"ExStream":[160,188],"algorithm":[161],"efficient":[164],"compare":[167],"alternatives.":[170],"We":[171],"find":[172],"full":[174],"can":[176],"eliminate":[177],"variety":[182],"performing":[189],"using":[191],"far":[192],"less":[193],"computation.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":46},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
