{"id":"https://openalex.org/W2888850958","doi":"https://doi.org/10.1145/3240765.3243494","title":"Searching toward pareto-optimal device-aware neural architectures","display_name":"Searching toward pareto-optimal device-aware neural architectures","publication_year":2018,"publication_date":"2018-11-05","ids":{"openalex":"https://openalex.org/W2888850958","doi":"https://doi.org/10.1145/3240765.3243494","mag":"2888850958"},"language":"en","primary_location":{"id":"doi:10.1145/3240765.3243494","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240765.3243494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer-Aided Design","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/A5089283494","display_name":"An\u2010Chieh Cheng","orcid":"https://orcid.org/0000-0002-2203-1911"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"An-Chieh Cheng","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072450379","display_name":"Jin\u2010Dong Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jin-Dong Dong","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090019112","display_name":"Chi-Hung Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Hung Hsu","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shu-Huan Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shu-Huan Chang","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008600","display_name":"Min Sun","orcid":"https://orcid.org/0000-0001-9598-8178"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min Sun","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073382186","display_name":"Shih-Chieh Chang","orcid":"https://orcid.org/0000-0003-0717-6466"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Chieh Chang","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083649006","display_name":"Jia-Yu Pan","orcid":"https://orcid.org/0009-0005-6700-908X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia-Yu Pan","raw_affiliation_strings":["Google Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436551","display_name":"Yuting Chen","orcid":"https://orcid.org/0000-0001-6080-8317"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Ting Chen","raw_affiliation_strings":["Google Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323672","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-0655-056X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["Google Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005730523","display_name":"Da-Cheng Juan","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da-Cheng Juan","raw_affiliation_strings":["Google Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7455,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.91931613,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9965000152587891,"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":0.8026262521743774},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6308112740516663},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6161378622055054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5999059081077576},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5388095378875732},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5279715657234192},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5136865973472595},{"id":"https://openalex.org/keywords/workstation","display_name":"Workstation","score":0.4974999725818634},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.46360647678375244},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.3706321716308594},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.340320348739624},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32271212339401245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3128501772880554},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2788883149623871},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.161746084690094},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12788748741149902},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11535868048667908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8026262521743774},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6308112740516663},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6161378622055054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5999059081077576},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5388095378875732},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5279715657234192},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5136865973472595},{"id":"https://openalex.org/C67953723","wikidata":"https://www.wikidata.org/wiki/Q192525","display_name":"Workstation","level":2,"score":0.4974999725818634},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.46360647678375244},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.3706321716308594},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.340320348739624},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32271212339401245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3128501772880554},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2788883149623871},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.161746084690094},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12788748741149902},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11535868048667908},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3240765.3243494","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240765.3243494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer-Aided Design","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W1568834902","https://openalex.org/W1922655562","https://openalex.org/W2108598243","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2266822037","https://openalex.org/W2325535142","https://openalex.org/W2534788641","https://openalex.org/W2553303224","https://openalex.org/W2587014634","https://openalex.org/W2610817424","https://openalex.org/W2612445135","https://openalex.org/W2747469359","https://openalex.org/W2748513770","https://openalex.org/W2767002384","https://openalex.org/W2769653148","https://openalex.org/W2773706593","https://openalex.org/W2782417188","https://openalex.org/W2783000019","https://openalex.org/W2785366763","https://openalex.org/W2785430118","https://openalex.org/W2798389239","https://openalex.org/W2803311163","https://openalex.org/W2808938483","https://openalex.org/W2809297101","https://openalex.org/W2809899846","https://openalex.org/W2810075754","https://openalex.org/W2810271953","https://openalex.org/W2885820039","https://openalex.org/W2886953980","https://openalex.org/W2887043285","https://openalex.org/W2897275599","https://openalex.org/W2949264490","https://openalex.org/W2949888546","https://openalex.org/W2951886768","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963993763","https://openalex.org/W2964081403","https://openalex.org/W2964081807","https://openalex.org/W2964212578","https://openalex.org/W2964294659","https://openalex.org/W4255158661"],"related_works":["https://openalex.org/W1963790170","https://openalex.org/W2073298047","https://openalex.org/W2033790662","https://openalex.org/W2090178682","https://openalex.org/W2586328217","https://openalex.org/W2049264236","https://openalex.org/W4241467429","https://openalex.org/W2001591765","https://openalex.org/W2073147994","https://openalex.org/W1588199609"],"abstract_inverted_index":{"Recent":[0],"breakthroughs":[1],"in":[2,11],"Neural":[3],"Architectural":[4],"Search":[5],"(NAS)":[6],"have":[7],"achieved":[8],"state-of-the-art":[9],"performance":[10],"many":[12],"tasks":[13],"such":[14,43],"as":[15,44],"image":[16],"classification":[17],"and":[18,30,41,46,61,84,89,96,120,136],"language":[19],"understanding.":[20],"However,":[21],"most":[22],"existing":[23],"works":[24],"only":[25],"optimize":[26],"for":[27,103,145],"model":[28],"accuracy":[29,95],"largely":[31],"ignore":[32],"other":[33,97],"important":[34],"factors":[35],"imposed":[36,99],"by":[37,100,134],"the":[38,57,142],"underlying":[39],"hardware":[40],"devices,":[42,101],"latency":[45],"energy,":[47],"when":[48],"making":[49],"inference.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,69],"first":[55],"introduce":[56],"problem":[58],"of":[59,93,115],"NAS":[60,78],"provide":[62],"a":[63,112],"survey":[64],"on":[65,76,111],"recent":[66,74],"works.":[67],"Then":[68],"deep":[70],"dive":[71],"into":[72,79],"two":[73],"advancements":[75],"extending":[77],"multiple-objective":[80],"frameworks:":[81],"MONAS":[82,88,135],"[19]":[83],"DPP-Net":[85,90,137],"[10].":[86],"Both":[87],"are":[91,127],"capable":[92],"optimizing":[94],"objectives":[98,144],"searching":[102],"neural":[104],"architectures":[105,132],"that":[106,131],"can":[107],"be":[108],"best":[109],"deployed":[110],"wide":[113],"spectrum":[114],"devices:":[116],"from":[117],"embedded":[118],"systems":[119],"mobile":[121],"devices":[122],"to":[123,129],"workstations.":[124],"Experimental":[125],"results":[126],"poised":[128],"show":[130],"found":[133],"achieves":[138],"Pareto":[139],"optimality":[140],"w.r.t":[141],"given":[143],"various":[146],"devices.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
