{"id":"https://openalex.org/W4362655878","doi":"https://doi.org/10.48550/arxiv.2304.01821","title":"Data Aware Neural Architecture Search","display_name":"Data Aware Neural Architecture Search","publication_year":2023,"publication_date":"2023-04-04","ids":{"openalex":"https://openalex.org/W4362655878","doi":"https://doi.org/10.48550/arxiv.2304.01821"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2304.01821","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.01821","pdf_url":"https://arxiv.org/pdf/2304.01821","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2304.01821","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033288169","display_name":"Emil Njor","orcid":"https://orcid.org/0000-0003-0219-1624"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Njor, Emil","raw_affiliation_strings":["Technical University of Denmark, Department of Applied Mathematics and Computer Science, DK"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark, Department of Applied Mathematics and Computer Science, DK","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056287081","display_name":"Jan Madsen","orcid":"https://orcid.org/0000-0002-5098-8454"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Madsen, Jan","raw_affiliation_strings":["Technical University of Denmark, Department of Applied Mathematics and Computer Science, DK"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark, Department of Applied Mathematics and Computer Science, DK","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018416804","display_name":"Xenofon Fafoutis","orcid":"https://orcid.org/0000-0002-9871-0013"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Fafoutis, Xenofon","raw_affiliation_strings":["Technical University of Denmark, Department of Applied Mathematics and Computer Science, DK"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark, Department of Applied Mathematics and Computer Science, DK","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033288169"],"corresponding_institution_ids":["https://openalex.org/I96673099"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9570000171661377,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9570000171661377,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9363999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/architecture","display_name":"Architecture","score":0.6905211806297302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5512632727622986},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.42277342081069946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3754199743270874},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33526796102523804},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1803537905216217},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.07027068734169006}],"concepts":[{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6905211806297302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5512632727622986},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.42277342081069946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3754199743270874},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33526796102523804},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1803537905216217},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.07027068734169006}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2304.01821","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.01821","pdf_url":"https://arxiv.org/pdf/2304.01821","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/40cb879d-bb9a-4fd9-bd92-ad27b617056f","is_oa":false,"landing_page_url":"https://orbit.dtu.dk/en/publications/40cb879d-bb9a-4fd9-bd92-ad27b617056f","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Njor , E , Madsen , J & Fafoutis , X 2023 , Data Aware Neural Architecture Search . in Proceedings of tinyML Research Symposium . tinyML Research Symposium\u201923 , Burlingame , California , United States , 27/03/2023 .","raw_type":"contributionToPeriodical"},{"id":"doi:10.48550/arxiv.2304.01821","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2304.01821","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2304.01821","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.01821","pdf_url":"https://arxiv.org/pdf/2304.01821","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4782604025","display_name":null,"funder_award_id":"9142-00001B","funder_id":"https://openalex.org/F4320313796","funder_display_name":"Innovationsfonden"}],"funders":[{"id":"https://openalex.org/F4320313796","display_name":"Innovationsfonden","ror":"https://ror.org/00daj4111"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362655878.pdf","grobid_xml":"https://content.openalex.org/works/W4362655878.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2038503502"],"abstract_inverted_index":{"Neural":[0,11],"Architecture":[1],"Search":[2],"(NAS)":[3],"is":[4,44,61],"a":[5,26,49,54,58,74,126],"popular":[6],"tool":[7],"for":[8,25,82,92,110],"automatically":[9],"generating":[10],"Network":[12],"(NN)":[13],"architectures.":[14],"In":[15,95],"early":[16],"NAS":[17,81,111],"works,":[18],"these":[19,104],"tools":[20],"typically":[21],"optimized":[22],"NN":[23,50,55],"architectures":[24],"single":[27,42],"metric,":[28],"such":[29,125],"as":[30],"accuracy.":[31],"However,":[32],"in":[33],"the":[34,70],"case":[35],"of":[36,73,103,113,136],"resource":[37,83,114],"constrained":[38,84,115],"Machine":[39],"Learning,":[40],"one":[41],"metric":[43],"not":[45,62,67],"enough":[46],"to":[47,90,117,142],"evaluate":[48],"architecture.":[51],"For":[52],"example,":[53],"model":[56],"achieving":[57],"high":[59],"accuracy":[60],"useful":[63],"if":[64],"it":[65,106,141],"does":[66],"fit":[68],"inside":[69],"flash":[71],"memory":[72],"given":[75],"system.":[76],"Therefore,":[77],"recent":[78],"works":[79],"on":[80,101],"systems":[85,116],"have":[86],"investigated":[87],"various":[88],"approaches":[89],"optimize":[91],"multiple":[93],"metrics.":[94],"this":[96],"paper,":[97],"we":[98,132],"propose":[99],"that,":[100],"top":[102],"approaches,":[105],"could":[107],"be":[108],"beneficial":[109],"optimization":[112],"also":[118],"consider":[119],"input":[120],"data":[121],"granularity.":[122],"We":[123],"name":[124],"system":[127],"\"Data":[128],"Aware":[129],"NAS\",":[130],"and":[131],"provide":[133],"experimental":[134],"evidence":[135],"its":[137],"benefits":[138],"by":[139],"comparing":[140],"traditional":[143],"NAS.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}