{"id":"https://openalex.org/W3118369502","doi":"https://doi.org/10.1109/ssci47803.2020.9308334","title":"Distributed Evolution Strategies Using TPUs for Meta-Learning","display_name":"Distributed Evolution Strategies Using TPUs for Meta-Learning","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3118369502","doi":"https://doi.org/10.1109/ssci47803.2020.9308334","mag":"3118369502"},"language":"en","primary_location":{"id":"doi:10.1109/ssci47803.2020.9308334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci47803.2020.9308334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2201.00093","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050469869","display_name":"Alex Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alex Sheng","raw_affiliation_strings":["Tandon School of Engineering, New York University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Tandon School of Engineering, New York University, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100766736","display_name":"Jun He","orcid":"https://orcid.org/0000-0002-3017-2108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Yi Derek He","raw_affiliation_strings":["Academy of Science and Technology The Woodlands College Park High School, The Woodlands, USA"],"affiliations":[{"raw_affiliation_string":"Academy of Science and Technology The Woodlands College Park High School, The Woodlands, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050469869"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.5485,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74970823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"721","last_page":"728"},"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":0.9904000163078308,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9846000075340271,"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/computer-science","display_name":"Computer science","score":0.8385909795761108},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7145803570747375},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7054749727249146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6339012980461121},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6331504583358765},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5559245347976685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5141380429267883},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5039367079734802},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.45615047216415405},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43977344036102295},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.373931884765625},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.2885791063308716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8385909795761108},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7145803570747375},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7054749727249146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6339012980461121},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6331504583358765},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5559245347976685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5141380429267883},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5039367079734802},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45615047216415405},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43977344036102295},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.373931884765625},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2885791063308716},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci47803.2020.9308334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci47803.2020.9308334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2201.00093","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.00093","pdf_url":"https://arxiv.org/pdf/2201.00093","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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2201.00093","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.00093","pdf_url":"https://arxiv.org/pdf/2201.00093","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W119114865","https://openalex.org/W183625566","https://openalex.org/W1502364872","https://openalex.org/W1514875444","https://openalex.org/W1813030236","https://openalex.org/W1966447062","https://openalex.org/W1973965874","https://openalex.org/W2009618608","https://openalex.org/W2096765209","https://openalex.org/W2130990842","https://openalex.org/W2133774033","https://openalex.org/W2166348281","https://openalex.org/W2596367596","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2606101940","https://openalex.org/W2606722458","https://openalex.org/W2895531857","https://openalex.org/W2925006810","https://openalex.org/W2944378183","https://openalex.org/W2946037774","https://openalex.org/W2953212265","https://openalex.org/W2961719374","https://openalex.org/W2963341924","https://openalex.org/W2963775850","https://openalex.org/W2978843034","https://openalex.org/W2995627493","https://openalex.org/W3091905774","https://openalex.org/W3163842339","https://openalex.org/W4394633966","https://openalex.org/W6630983572","https://openalex.org/W6674201379","https://openalex.org/W6717367658","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6735641298","https://openalex.org/W6736057607","https://openalex.org/W6736534893","https://openalex.org/W6755095635","https://openalex.org/W6762744983","https://openalex.org/W6768560635","https://openalex.org/W6776331362"],"related_works":["https://openalex.org/W3097663225","https://openalex.org/W98577079","https://openalex.org/W4301772239","https://openalex.org/W2948164010","https://openalex.org/W4297800546","https://openalex.org/W2804529069","https://openalex.org/W2963306862","https://openalex.org/W4386230745","https://openalex.org/W2981111316","https://openalex.org/W2781376346"],"abstract_inverted_index":{"Meta-learning":[0],"traditionally":[1],"relies":[2],"on":[3,62,72,174],"backpropagation":[4],"through":[5],"entire":[6],"tasks":[7,47],"to":[8,23,44,90],"iteratively":[9],"improve":[10],"a":[11,28,55,73,103,131,162,167],"model's":[12],"learning":[13],"dynamics.":[14],"However,":[15],"this":[16],"approach":[17],"is":[18,39],"computationally":[19],"intractable":[20],"when":[21],"scaled":[22],"complex":[24],"tasks.":[25],"We":[26,107,120],"propose":[27],"distributed":[29,171],"evolutionary":[30,159],"meta-learning":[31,160],"strategy":[32],"using":[33],"Tensor":[34],"Processing":[35],"Units":[36],"(TPUs)":[37],"that":[38],"highly":[40],"parallel":[41],"and":[42,126,165],"scalable":[43],"arbitrarily":[45],"long":[46],"with":[48,59,94,116],"no":[49],"increase":[50],"in":[51,161],"memory":[52,86],"cost.":[53],"Using":[54],"Prototypical":[56],"Network":[57],"trained":[58],"evolution":[60,172],"strategies":[61,173],"the":[63,92,95,124,155],"Omniglot":[64],"dataset,":[65],"we":[66,153],"achieved":[67],"an":[68],"accuracy":[69,99,111],"of":[70,102,128,133,142,158],"98.4%":[71],"5-shot":[74],"classification":[75,110],"problem.":[76],"Our":[77,149],"algorithm":[78],"used":[79],"as":[80,82,112,114],"much":[81],"40":[83],"times":[84],"less":[85],"than":[87],"automatic":[88],"differentiation":[89],"compute":[91],"gradient,":[93],"resulting":[96],"model":[97,139],"achieving":[98],"within":[100],"1.3%":[101],"backpropagation-trained":[104],"equivalent":[105],"(99.6%).":[106],"observed":[108],"better":[109],"high":[113],"99.1%":[115],"larger":[117],"population":[118,137],"configurations.":[119],"further":[121],"experimentally":[122],"validate":[123],"stability":[125],"performance":[127],"ES-ProtoNet":[129],"across":[130],"variety":[132],"training":[134],"conditions":[135],"(varying":[136],"size,":[138,140],"number":[141],"workers,":[143],"shot,":[144],"way,":[145],"ES":[146],"hyperparameters,":[147],"etc.).":[148],"contributions":[150],"are":[151],"twofold:":[152],"provide":[154],"first":[156],"assessment":[157],"supervised":[163],"setting,":[164],"create":[166],"general":[168],"framework":[169],"for":[170],"TPUs.":[175]},"counts_by_year":[{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
