{"id":"https://openalex.org/W4385484741","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191474","title":"Hidden Design Principles in Zero-Cost Performance Predictors for Neural Architecture Search","display_name":"Hidden Design Principles in Zero-Cost Performance Predictors for Neural Architecture Search","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385484741","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191474"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191474","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5064094377","display_name":"Andr\u00e9 R.F. Silva","orcid":"https://orcid.org/0000-0001-5586-7005"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Andr\u00e9 Ramos Fernandes da Silva","raw_affiliation_strings":["Sidia R&D Institute,Retail Management System,Manaus,AM,Brazil,69055-035"],"affiliations":[{"raw_affiliation_string":"Sidia R&D Institute,Retail Management System,Manaus,AM,Brazil,69055-035","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091824457","display_name":"Lucas Marcondes Pavelski","orcid":"https://orcid.org/0000-0002-5622-392X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lucas Marcondes Pavelski","raw_affiliation_strings":["Sidia R&D Institute,Retail Management System,Manaus,AM,Brazil,69055-035"],"affiliations":[{"raw_affiliation_string":"Sidia R&D Institute,Retail Management System,Manaus,AM,Brazil,69055-035","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011078716","display_name":"Luiz Alberto Queiroz Cordovil J\u00fanior","orcid":"https://orcid.org/0000-0001-9503-856X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luiz Alberto Queiroz Cordovil J\u00fanior","raw_affiliation_strings":["Sidia R&D Institute,Retail Management System,Manaus,AM,Brazil,69055-035"],"affiliations":[{"raw_affiliation_string":"Sidia R&D Institute,Retail Management System,Manaus,AM,Brazil,69055-035","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064094377"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39824768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"139","issue":null,"first_page":"1","last_page":"10"},"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":0.9995999932289124,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9987000226974487,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7293686270713806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7191129922866821},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6836261749267578},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6077741384506226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5655850768089294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5385692119598389},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48340263962745667},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47199395298957825},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.452542781829834},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4478142261505127},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.402538001537323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18664413690567017},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11272087693214417}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7293686270713806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7191129922866821},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6836261749267578},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6077741384506226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5655850768089294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5385692119598389},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48340263962745667},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47199395298957825},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.452542781829834},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4478142261505127},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.402538001537323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18664413690567017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11272087693214417},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191474","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4608402786","display_name":null,"funder_award_id":"8.387/91","funder_id":"https://openalex.org/F4320332195","funder_display_name":"Samsung"}],"funders":[{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2016023958","https://openalex.org/W2125389748","https://openalex.org/W2194775991","https://openalex.org/W2498789492","https://openalex.org/W2549139847","https://openalex.org/W2553303224","https://openalex.org/W2783873922","https://openalex.org/W2796265726","https://openalex.org/W2809090039","https://openalex.org/W2885311373","https://openalex.org/W2891727575","https://openalex.org/W2894740066","https://openalex.org/W2933980179","https://openalex.org/W2962746461","https://openalex.org/W2975267079","https://openalex.org/W2981563141","https://openalex.org/W3002687113","https://openalex.org/W3005842225","https://openalex.org/W3015333924","https://openalex.org/W3034429256","https://openalex.org/W3035363850","https://openalex.org/W3082154327","https://openalex.org/W3104688113","https://openalex.org/W3118608800","https://openalex.org/W3121924028","https://openalex.org/W3133727220","https://openalex.org/W3134119092","https://openalex.org/W3166395393","https://openalex.org/W3182590016","https://openalex.org/W3187004996","https://openalex.org/W3187127611","https://openalex.org/W3192682950","https://openalex.org/W3210924156","https://openalex.org/W4249517274","https://openalex.org/W4287242089","https://openalex.org/W4294811446","https://openalex.org/W6678583879","https://openalex.org/W6729956949","https://openalex.org/W6748171661","https://openalex.org/W6752495264","https://openalex.org/W6753278433","https://openalex.org/W6755166560","https://openalex.org/W6766225098","https://openalex.org/W6768572005","https://openalex.org/W6771627115","https://openalex.org/W6772027524","https://openalex.org/W6779348065","https://openalex.org/W6779460946","https://openalex.org/W6782095439","https://openalex.org/W6783311335","https://openalex.org/W6788713141","https://openalex.org/W6791327051","https://openalex.org/W6793646068","https://openalex.org/W6796978233","https://openalex.org/W6803358979"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W3183136280","https://openalex.org/W4318559728","https://openalex.org/W2775233965","https://openalex.org/W4360995913","https://openalex.org/W4312193868"],"abstract_inverted_index":{"Neural":[0,50],"Architecture":[1,51],"Search":[2],"is":[3,17,117,127],"an":[4,19,139],"active":[5],"research":[6],"field":[7],"that":[8,126],"aims":[9],"to":[10,47,67,108,129,143],"design":[11,115,146],"neural":[12,150],"networks":[13,151],"automatically.":[14],"Nevertheless,":[15],"this":[16,135],"usually":[18],"expensive":[20],"process":[21],"since":[22],"the":[23,28,68,78,91,97,105,145],"search":[24,37,93,106],"algorithm":[25],"must":[26],"evaluate":[27],"performance":[29,58,74,87,101,155],"of":[30,40,56,64,70,148],"many":[31],"candidate":[32],"solutions":[33],"from":[34],"a":[35,62,72,81,85,120,123],"vast":[36],"space.":[38],"Because":[39],"that,":[41],"different":[42,111],"strategies":[43],"have":[44],"been":[45],"proposed":[46],"perform":[48],"efficient":[49],"Search.":[52],"The":[53],"recent":[54],"development":[55],"zero-cost":[57,154],"predictors":[59],"has":[60],"shown":[61],"lot":[63],"promise":[65],"due":[66],"possibility":[69],"predicting":[71],"network's":[73],"without":[75],"training.":[76],"On":[77],"other":[79],"hand,":[80],"predictor's":[82],"correlation":[83],"with":[84],"model's":[86],"may":[88],"depend":[89],"on":[90,96],"network":[92,112,132],"space":[94],"and":[95,157],"benchmark":[98],"dataset.":[99],"Each":[100],"predictor":[102],"might":[103],"lead":[104],"processes":[107],"favor":[109],"very":[110],"patterns.":[113],"A":[114],"principle":[116],"defined":[118],"as":[119],"restriction":[121],"in":[122],"hyperparameter":[124],"distribution":[125],"expected":[128],"yield":[130],"optimum":[131],"performance.":[133],"In":[134],"work,":[136],"we":[137,158],"propose":[138],"automatic":[140],"iterative":[141],"approach":[142],"uncover":[144],"principles":[147],"deep":[149],"optimized":[152],"by":[153,163],"predictors,":[156],"discuss":[159],"insightful":[160],"information":[161],"obtained":[162],"its":[164],"application.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}