{"id":"https://openalex.org/W3200051273","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534460","title":"RoCo-NAS: Robust and Compact Neural Architecture Search","display_name":"RoCo-NAS: Robust and Compact Neural Architecture Search","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200051273","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534460","mag":"3200051273"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5064968956","display_name":"Vahid Geraeinejad","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Vahid Geraeinejad","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047452403","display_name":"Sima Sinaei","orcid":"https://orcid.org/0000-0001-5951-9374"},"institutions":[{"id":"https://openalex.org/I2800664555","display_name":"RISE Research Institutes of Sweden","ror":"https://ror.org/03nnxqz81","country_code":"SE","type":"other","lineage":["https://openalex.org/I2800664555"]},{"id":"https://openalex.org/I82509713","display_name":"M\u00e4lardalen University","ror":"https://ror.org/033vfbz75","country_code":"SE","type":"education","lineage":["https://openalex.org/I82509713"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sima Sinaei","raw_affiliation_strings":["M\u00e4lardalen University, Sweden","RISE Research Institute of Sweden"],"affiliations":[{"raw_affiliation_string":"M\u00e4lardalen University, Sweden","institution_ids":["https://openalex.org/I82509713"]},{"raw_affiliation_string":"RISE Research Institute of Sweden","institution_ids":["https://openalex.org/I2800664555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080817569","display_name":"Mehdi Modarressi","orcid":"https://orcid.org/0000-0002-4117-7609"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehdi Modarressi","raw_affiliation_strings":["School of Computer Science, IPM, Iran","School of Electrical and Computer Engineering, University of Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, IPM, Iran","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063193249","display_name":"Masoud Daneshtalab","orcid":"https://orcid.org/0000-0001-6289-1521"},"institutions":[{"id":"https://openalex.org/I82509713","display_name":"M\u00e4lardalen University","ror":"https://ror.org/033vfbz75","country_code":"SE","type":"education","lineage":["https://openalex.org/I82509713"]},{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE","SE"],"is_corresponding":false,"raw_author_name":"Masoud Daneshtalab","raw_affiliation_strings":["M\u00e4lardalen University, Sweden","Tallinn University of Technology, Estonia"],"affiliations":[{"raw_affiliation_string":"M\u00e4lardalen University, Sweden","institution_ids":["https://openalex.org/I82509713"]},{"raw_affiliation_string":"Tallinn University of Technology, Estonia","institution_ids":["https://openalex.org/I111112146"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064968956"],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":null,"apc_paid":null,"fwci":1.0878,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81983058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":0.9768000245094299,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9746999740600586,"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/robustness","display_name":"Robustness (evolution)","score":0.8158242702484131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7653493881225586},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5981517434120178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5924082398414612},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5583890676498413},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5572214126586914},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5066249966621399},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.45185625553131104},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4186161458492279},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40876805782318115}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8158242702484131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7653493881225586},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5981517434120178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5924082398414612},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5583890676498413},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5572214126586914},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5066249966621399},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.45185625553131104},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4186161458492279},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40876805782318115},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4099999964237213,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W2097117768","https://openalex.org/W2111935653","https://openalex.org/W2126105956","https://openalex.org/W2167159964","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2468462628","https://openalex.org/W2543927648","https://openalex.org/W2556833785","https://openalex.org/W2588207035","https://openalex.org/W2590523583","https://openalex.org/W2603766943","https://openalex.org/W2607219512","https://openalex.org/W2611576673","https://openalex.org/W2613144983","https://openalex.org/W2614635052","https://openalex.org/W2736899637","https://openalex.org/W2748513770","https://openalex.org/W2765424254","https://openalex.org/W2782417188","https://openalex.org/W2791953061","https://openalex.org/W2810075754","https://openalex.org/W2885820039","https://openalex.org/W2907518016","https://openalex.org/W2913266441","https://openalex.org/W2913732044","https://openalex.org/W2951104886","https://openalex.org/W2951165433","https://openalex.org/W2954234207","https://openalex.org/W2962729158","https://openalex.org/W2962746461","https://openalex.org/W2962759300","https://openalex.org/W2962872506","https://openalex.org/W2963143631","https://openalex.org/W2963207607","https://openalex.org/W2963446712","https://openalex.org/W2963542245","https://openalex.org/W2963557656","https://openalex.org/W2963778169","https://openalex.org/W2963857521","https://openalex.org/W2963920068","https://openalex.org/W2964081807","https://openalex.org/W2964153729","https://openalex.org/W2964253222","https://openalex.org/W2964259004","https://openalex.org/W2965658867","https://openalex.org/W2971229607","https://openalex.org/W2981686275","https://openalex.org/W2981748264","https://openalex.org/W2982561504","https://openalex.org/W2996568780","https://openalex.org/W3011120880","https://openalex.org/W3035467354","https://openalex.org/W3039230418","https://openalex.org/W3046567607","https://openalex.org/W3081624383","https://openalex.org/W3102720581","https://openalex.org/W3103557498","https://openalex.org/W3187541268","https://openalex.org/W3195571952","https://openalex.org/W4255158661","https://openalex.org/W4287745534","https://openalex.org/W4288334123","https://openalex.org/W4288346627","https://openalex.org/W4288643330","https://openalex.org/W4293846201","https://openalex.org/W4295185264","https://openalex.org/W4297573953","https://openalex.org/W4300687381","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6684212943","https://openalex.org/W6719080892","https://openalex.org/W6719982585","https://openalex.org/W6729972426","https://openalex.org/W6733645847","https://openalex.org/W6737577832","https://openalex.org/W6739868092","https://openalex.org/W6741036071","https://openalex.org/W6743495212","https://openalex.org/W6744679260","https://openalex.org/W6745614327","https://openalex.org/W6746402973","https://openalex.org/W6748057086","https://openalex.org/W6748475379","https://openalex.org/W6748965907","https://openalex.org/W6752515464","https://openalex.org/W6753344092","https://openalex.org/W6756887525","https://openalex.org/W6757697851","https://openalex.org/W6759129252","https://openalex.org/W6759402224","https://openalex.org/W6762749081","https://openalex.org/W6767905742","https://openalex.org/W6771356089","https://openalex.org/W6780095956","https://openalex.org/W6782781826"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W4383221314","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W2997056298","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480"],"abstract_inverted_index":{"Deep":[0],"model":[1,130],"compression":[2,14],"has":[3],"been":[4,45],"studied":[5],"widely,":[6],"and":[7,56,65,83,155,211],"state-of-the-art":[8],"methods":[9],"can":[10],"now":[11],"achieve":[12],"high":[13],"ratios":[15],"with":[16],"minimum":[17],"accuracy":[18,95],"loss.":[19],"Recent":[20],"advances":[21],"in":[22,120],"adversarial":[23,38,68,86,108,181],"attacks":[24,87],"reveal":[25],"the":[26,94,103,115,123,190,209],"inherent":[27],"vulnerability":[28],"of":[29,88,105,117,125,197,206,213],"deep":[30,49,214],"neural":[31,89,98,138,162,215],"networks":[32,216],"to":[33,47,80,85,113,122,128,145,152,169,176],"slightly":[34],"perturbed":[35],"images":[36],"called":[37],"examples.":[39],"Since":[40],"then,":[41],"extensive":[42],"efforts":[43],"have":[44],"performed":[46],"enhance":[48],"networks'":[50],"robustness":[51,66,84,116],"via":[52],"specialized":[53],"loss":[54],"functions":[55],"learning":[57],"algorithms.":[58],"Previous":[59],"works":[60],"suggest":[61],"that":[62,143,173],"network":[63,90],"size":[64],"against":[67,180],"examples":[69,109],"contradict":[70],"on":[71,135],"most":[72],"occasions.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77,166],"investigate":[78],"how":[79],"optimize":[81],"compactness":[82],"architectures":[91,195],"while":[92],"maintaining":[93],"using":[96,217],"multi-objective":[97],"architecture":[99,139,163,172,187,219],"search.":[100,220],"We":[101],"propose":[102],"use":[104],"previously":[106],"generated":[107],"as":[110],"an":[111,171],"objective":[112],"evaluate":[114],"our":[118],"models":[119],"addition":[121],"number":[124],"floating-point":[126],"operations":[127],"assess":[129],"complexity":[131],"i.e.":[132],"compactness.":[133],"Experiments":[134],"some":[136],"recent":[137],"search":[140,148,164],"algorithms":[141],"show":[142,192],"due":[144],"their":[146,198],"limited":[147],"space":[149],"they":[150],"fail":[151],"find":[153],"robust":[154,194],"compact":[156],"architectures.":[157],"By":[158],"creating":[159],"a":[160,203],"novel":[161],"(RoCo-NAS),":[165],"were":[167],"able":[168],"evolve":[170],"is":[174],"up":[175,202],"7%":[177],"more":[178,185],"accurate":[179],"samples":[182],"than":[183],"its":[184],"complex":[186],"counterpart.":[188],"Thus,":[189],"results":[191],"inherently":[193],"regardless":[196],"size.":[199],"This":[200],"opens":[201],"new":[204],"range":[205],"possibilities":[207],"for":[208],"exploration":[210],"design":[212],"automatic":[218]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
