{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:24:25Z","timestamp":1769732665220,"version":"3.49.0"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,9]],"date-time":"2022-10-09T00:00:00Z","timestamp":1665273600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,9]],"date-time":"2022-10-09T00:00:00Z","timestamp":1665273600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,9]]},"DOI":"10.1109\/smc53654.2022.9945080","type":"proceedings-article","created":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T20:49:04Z","timestamp":1668804544000},"page":"2918-2923","source":"Crossref","is-referenced-by-count":5,"title":["CNAS: Constrained Neural Architecture Search"],"prefix":"10.1109","author":[{"given":"Matteo","family":"Gambella","sequence":"first","affiliation":[{"name":"Informazione e Bioingegneria, Politecnico di Milano,Dipartimento di Elettronica,Milano,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessandro","family":"Falcetta","sequence":"additional","affiliation":[{"name":"Informazione e Bioingegneria, Politecnico di Milano,Dipartimento di Elettronica,Milano,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel","family":"Roveri","sequence":"additional","affiliation":[{"name":"Informazione e Bioingegneria, Politecnico di Milano,Dipartimento di Elettronica,Milano,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Nas-imagenet","year":"2022"},{"key":"ref38","article-title":"Escaping the big data paradigm with compact transformers","volume":"abs 2104 5704","author":"hassani","year":"2021","journal-title":"ArXiv"},{"key":"ref33","article-title":"Sok: Privacy-preserving deep learning with homomorphic encryption","volume":"abs 2112 12855","author":"podschwadt","year":"2021","journal-title":"ArXiv"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3310273.3323047"},{"key":"ref30","article-title":"Raspberry","year":"2022"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6948"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01206"},{"key":"ref35","article-title":"Raspberry pi 3 model b+","year":"2022"},{"key":"ref34","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3437984.3458836"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2017.111"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2022.3180883"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICEngTechnol.2017.8308186"},{"key":"ref15","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00206"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014886"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref19","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume":"abs 1905 11946","author":"tan","year":"2019","journal-title":"ArXiv"},{"key":"ref4","first-page":"10760","article-title":"Alphanet: Improved training of supernets with alpha-divergence","author":"wang","year":"2021","journal-title":"International Conference on Machine Learning"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.2307\/2332226"},{"key":"ref27","first-page":"53","article-title":"Block-coordinate Frank-Wolfe optimization for structural SVMs","volume":"28","author":"lacoste-julien","year":"2013","journal-title":"Proceedings of the 30th International Conference on Machine Learning ser Proceedings of Machine Learning Research"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106622"},{"key":"ref6","first-page":"35","article-title":"Ns-ganetv2: Evolutionary multi-objective surrogate-assisted neural architecture search","author":"lu","year":"2020","journal-title":"European Conference on Computer Vision"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01206"},{"key":"ref29","article-title":"Arduino","year":"2022"},{"key":"ref8","article-title":"Hardcore-nas: Hard constrained differentiable neural architecture search","author":"nayman","year":"2021","journal-title":"ICML"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3052758"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref9","article-title":"Once for all: Train one network and specialize it for efficient deployment","author":"cai","year":"2020","journal-title":"International Conference on Learning Representations"},{"key":"ref1","article-title":"A comprehensive survey of neural architecture search: Challenges and solutions","author":"ren","year":"2020","journal-title":"arXiv preprint arXiv 2006 04989"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MVIP49855.2020.9116923"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref21","article-title":"Accelerating neural architecture search using performance prediction","author":"baker","year":"2017","journal-title":"arXiv preprint arXiv 1705 10823"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"ref23","article-title":"Proxylessnas: Direct neural architecture search on target task and hardware","author":"cai","year":"2018","journal-title":"arXiv preprint arXiv 1812 00287"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01166"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2924461"}],"event":{"name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Prague, Czech Republic","start":{"date-parts":[[2022,10,9]]},"end":{"date-parts":[[2022,10,12]]}},"container-title":["2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9945068\/9945069\/09945080.pdf?arnumber=9945080","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:54:51Z","timestamp":1670874891000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9945080\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,9]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/smc53654.2022.9945080","relation":{},"subject":[],"published":{"date-parts":[[2022,10,9]]}}}