{"id":"https://openalex.org/W2551277100","doi":null,"title":"Lifelong Learning with Weighted Majority Votes","display_name":"Lifelong Learning with Weighted Majority Votes","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2551277100","mag":"2551277100"},"language":"en","primary_location":{"id":"pmh:oai:pure.mpg.de:item_2418270","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/11858/00-001M-0000-002D-194E-3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advances in Neural Information Processing Systems 29","raw_type":"info:eu-repo/semantics/conferenceObject"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5067420221","display_name":"Anastasia Pentina","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anastasia Pentina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5076246250","display_name":"Ruth Urner","orcid":"https://orcid.org/0000-0003-1179-7134","observed_orcids":["https://orcid.org/0000-0003-1179-7134"]},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ruth Urner","raw_affiliation_strings":["Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society"],"raw_orcid":"https://orcid.org/0000-0003-1179-7134","affiliations":[{"raw_affiliation_string":"Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society","institution_ids":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.788,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8951107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"3612","last_page":"3620"},"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":0.9761000275611877,"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":0.9761000275611877,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.01549999974668026,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.0015999999595806003,"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/lifelong-learning","display_name":"lifelong learning","score":0.9990000128746033},{"id":"https://openalex.org/keywords/weighted-majority-voting","display_name":"weighted majority voting","score":0.7960000038146973},{"id":"https://openalex.org/keywords/sample-complexity","display_name":"sample complexity","score":0.7099999785423279},{"id":"https://openalex.org/keywords/representation-learning","display_name":"representation learning","score":0.7089999914169312},{"id":"https://openalex.org/keywords/information-transfer","display_name":"information transmission","score":0.6880000233650208},{"id":"https://openalex.org/keywords/error-guarantees","display_name":"error guarantees","score":0.6930000185966492}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7584311366081238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7472937107086182},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.606721043586731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6041831970214844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5866830945014954},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5809037685394287},{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.5496894717216492},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5386585593223572},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5209683179855347},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4889637231826782},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.47594380378723145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4591817557811737},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.43748411536216736},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14385774731636047},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07276368141174316},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:pure.mpg.de:item_2418270","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/11858/00-001M-0000-002D-194E-3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advances in Neural Information Processing Systems 29","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:2551277100","doi":null,"is_oa":false,"landing_page_url":"https://papers.nips.cc/paper/2016/file/f39ae9ff3a81f499230c4126e01f421b-Paper.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"neural information processing systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W99485931","https://openalex.org/W1484446963","https://openalex.org/W1587813652","https://openalex.org/W1617650991","https://openalex.org/W1885448067","https://openalex.org/W1978164656","https://openalex.org/W1991564165","https://openalex.org/W2029538739","https://openalex.org/W2036043322","https://openalex.org/W2065180801","https://openalex.org/W2104094955","https://openalex.org/W2112076978","https://openalex.org/W2120587290","https://openalex.org/W2121358800","https://openalex.org/W2135316123","https://openalex.org/W2150287743","https://openalex.org/W2160943791","https://openalex.org/W2162888803","https://openalex.org/W2165644552","https://openalex.org/W2165698076","https://openalex.org/W2171809276","https://openalex.org/W2227271892","https://openalex.org/W2949201716","https://openalex.org/W2963917643","https://openalex.org/W4236362309"],"related_works":["https://openalex.org/W4416440245","https://openalex.org/W3208114984","https://openalex.org/W4205331298","https://openalex.org/W2186494677","https://openalex.org/W35149963","https://openalex.org/W4287811373","https://openalex.org/W3035990676","https://openalex.org/W2253164334","https://openalex.org/W3008701978","https://openalex.org/W2922231043"],"abstract_inverted_index":{"Better":[0],"understanding":[1],"of":[2,6,19,48,98,134],"the":[3,17,29,43,84,96,99],"potential":[4],"benefits":[5],"information":[7,57],"transfer":[8],"and":[9,31],"representation":[10,150],"learning":[11,106,148],"is":[12,51],"an":[13],"important":[14],"step":[15],"towards":[16],"goal":[18],"building":[20],"intelligent":[21],"systems":[22],"that":[23,94],"are":[24],"able":[25,52],"to":[26,53,69,126],"persist":[27],"in":[28,124,130,132],"world":[30],"learn":[32],"over":[33],"time.":[34],"In":[35,67],"this":[36,74],"work,":[37],"we":[38,76,89],"consider":[39],"a":[40,46,64,91,104,149,155],"setting":[41],"where":[42],"learner":[44],"encounters":[45],"stream":[47],"tasks":[49,153],"but":[50],"retain":[54],"only":[55],"limited":[56],"from":[58,151],"each":[59],"encountered":[60,152],"task,":[61],"such":[62],"as":[63,147],"learned":[65],"predictor.":[66],"contrast":[68],"most":[70],"previous":[71],"works":[72],"analyzing":[73],"scenario,":[75],"do":[77],"not":[78],"make":[79],"any":[80],"distributional":[81],"assumptions":[82],"on":[83,117],"task":[85,114,129,136],"generating":[86],"process.":[87],"Instead,":[88],"formulate":[90],"complexity":[92,122,137],"measure":[93],"captures":[95],"diversity":[97],"observed":[100,113],"tasks.":[101],"We":[102,119],"provide":[103],"lifelong":[105],"algorithm":[107],"with":[108,154],"error":[109],"guarantees":[110],"for":[111],"every":[112,128],"(rather":[115],"than":[116],"average).":[118],"show":[120],"sample":[121],"reductions":[123],"comparison":[125],"solving":[127],"isolation":[131],"terms":[133],"our":[135,140],"measure.":[138],"Further,":[139],"algorithmic":[141],"framework":[142],"can":[143],"naturally":[144],"be":[145],"viewed":[146],"neural":[156],"network.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-11-30T00:00:00"}