{"id":"https://openalex.org/W4382200994","doi":"https://doi.org/10.1145/3589883.3589898","title":"Open-NAS: A customizable search space for Neural Architecture Search","display_name":"Open-NAS: A customizable search space for Neural Architecture Search","publication_year":2023,"publication_date":"2023-03-10","ids":{"openalex":"https://openalex.org/W4382200994","doi":"https://doi.org/10.1145/3589883.3589898"},"language":"en","primary_location":{"id":"doi:10.1145/3589883.3589898","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589883.3589898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Machine Learning Technologies","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/A5092275851","display_name":"L\u00e9o Pouy","orcid":"https://orcid.org/0000-0003-3116-1467"},"institutions":[{"id":"https://openalex.org/I4210118719","display_name":"\u00c9cole Sup\u00e9rieure des Techniques A\u00e9ronautiques et de Construction Automobile","ror":"https://ror.org/02az5b805","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118719"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Leo Pouy","raw_affiliation_strings":["ESTACA'Lab, ESTACA, France"],"raw_orcid":"https://orcid.org/0000-0003-3116-1467","affiliations":[{"raw_affiliation_string":"ESTACA'Lab, ESTACA, France","institution_ids":["https://openalex.org/I4210118719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053640544","display_name":"Fouad Khenfri","orcid":"https://orcid.org/0000-0002-1649-7272"},"institutions":[{"id":"https://openalex.org/I4210118719","display_name":"\u00c9cole Sup\u00e9rieure des Techniques A\u00e9ronautiques et de Construction Automobile","ror":"https://ror.org/02az5b805","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118719"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fouad Khenfri","raw_affiliation_strings":["ESTACA'Lab, ESTACA, France"],"raw_orcid":"https://orcid.org/0000-0002-1649-7272","affiliations":[{"raw_affiliation_string":"ESTACA'Lab, ESTACA, France","institution_ids":["https://openalex.org/I4210118719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060612795","display_name":"Patrick Leserf","orcid":"https://orcid.org/0009-0004-8820-0097"},"institutions":[{"id":"https://openalex.org/I4210118719","display_name":"\u00c9cole Sup\u00e9rieure des Techniques A\u00e9ronautiques et de Construction Automobile","ror":"https://ror.org/02az5b805","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118719"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrick Leserf","raw_affiliation_strings":["ESTACA'Lab, ESTACA, France"],"raw_orcid":"https://orcid.org/0009-0004-8820-0097","affiliations":[{"raw_affiliation_string":"ESTACA'Lab, ESTACA, France","institution_ids":["https://openalex.org/I4210118719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112946846","display_name":"Chokri Mhraida","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chokri Mhraida","raw_affiliation_strings":["LSEA, Universite Paris-Saclay, CEA, List, France"],"raw_orcid":"https://orcid.org/0000-0003-2993-5734","affiliations":[{"raw_affiliation_string":"LSEA, Universite Paris-Saclay, CEA, List, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210085861"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043953328","display_name":"Ch\u00e9rif Larouci","orcid":"https://orcid.org/0000-0001-5990-8521"},"institutions":[{"id":"https://openalex.org/I4210118719","display_name":"\u00c9cole Sup\u00e9rieure des Techniques A\u00e9ronautiques et de Construction Automobile","ror":"https://ror.org/02az5b805","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118719"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cherif Larouci","raw_affiliation_strings":["ESTACA'Lab, ESTACA, France"],"raw_orcid":"https://orcid.org/0000-0001-5990-8521","affiliations":[{"raw_affiliation_string":"ESTACA'Lab, ESTACA, France","institution_ids":["https://openalex.org/I4210118719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973999857902527,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9961000084877014,"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/computer-science","display_name":"Computer science","score":0.7736766338348389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6722840070724487},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.659500241279602},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5875539779663086},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5679415464401245},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5558128952980042},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5516744256019592},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4776517152786255},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.436230331659317},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11714291572570801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736766338348389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6722840070724487},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.659500241279602},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5875539779663086},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5679415464401245},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5558128952980042},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5516744256019592},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4776517152786255},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.436230331659317},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11714291572570801},{"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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3589883.3589898","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589883.3589898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Machine Learning Technologies","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04404725v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04404725","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICMLT 2023: 2023 8th International Conference on Machine Learning Technologies, Mar 2023, New York (NY), United States. pp.102-107, ⟨10.1145/3589883.3589898⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5799999833106995,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2097117768","https://openalex.org/W2126105956","https://openalex.org/W2150066425","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2417429787","https://openalex.org/W2796265726","https://openalex.org/W2910554758","https://openalex.org/W2918466505","https://openalex.org/W2951104886","https://openalex.org/W2962835968","https://openalex.org/W2963628712","https://openalex.org/W2964081807","https://openalex.org/W2964121744","https://openalex.org/W2966284335","https://openalex.org/W3012995654","https://openalex.org/W3021613070","https://openalex.org/W4288617091","https://openalex.org/W4299518610","https://openalex.org/W4300424419"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4313906399","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"As":[0],"we":[1,119],"advance":[2],"in":[3,91],"the":[4,25,40,46,50,92,111,131,137],"fast-growing":[5],"era":[6],"of":[7,39,84,94,108,130,147],"Machine":[8,96],"Learning,":[9,104],"various":[10],"new":[11],"and":[12,34,75,139],"more":[13,22],"complex":[14],"neural":[15,57,85],"architectures":[16],"are":[17,79,134],"arising":[18],"to":[19,43,81,88,102,135,140,144],"tackle":[20],"problem":[21],"efficiently.":[23],"On":[24,49],"one":[26],"hand,":[27,52],"efficiently":[28],"deploy":[29],"them":[30],"requires":[31],"advanced":[32],"knowledge":[33],"expertise,":[35],"which":[36],"is":[37,59,65,110],"most":[38,146],"time":[41],"difficult":[42],"find":[44],"on":[45],"labor":[47],"market.":[48],"other":[51],"searching":[53],"for":[54,123],"an":[55,89,105],"optimized":[56],"architecture":[58],"a":[60,69,73,76,121,124],"time-consuming":[61],"task":[62],"when":[63],"it":[64,100],"performed":[66],"manually":[67],"using":[68],"trial-and-error":[70],"approach.":[71],"Hence,":[72],"method":[74],"tool":[77],"support":[78],"needed":[80],"assist":[82],"users":[83],"architectures,":[86,153],"leading":[87],"eagerness":[90],"field":[93],"Automatic":[95],"Learning":[97],"(AutoML).":[98],"When":[99],"comes":[101],"Deep":[103],"important":[106],"part":[107],"AutoML":[109],"Neural":[112,150],"Architecture":[113],"Search":[114],"(NAS).":[115],"In":[116],"this":[117],"paper,":[118],"propose":[120],"formalization":[122],"cell-based":[125],"search":[126],"space.":[127],"The":[128],"objectives":[129],"proposed":[132],"approach":[133],"optimize":[136],"search-time":[138],"be":[141],"general":[142],"enough":[143],"handle":[145],"state-of-the-art":[148],"Convolutional":[149],"Networks":[151],"(CNN)":[152],"as":[154,156],"well":[155],"being":[157],"customizable.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}