{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T02:02:45Z","timestamp":1725760965318},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"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":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9412970","type":"proceedings-article","created":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T22:15:54Z","timestamp":1620252954000},"page":"1985-1992","source":"Crossref","is-referenced-by-count":4,"title":["Stage-Wise Neural Architecture Search"],"prefix":"10.1109","author":[{"given":"Artur","family":"Jordao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fernando","family":"Akio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maiko","family":"Lie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"William Robson","family":"Schwartz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00958"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2012.07.010"},{"key":"ref33","article-title":"Neural architecture search with bayesian optimisation and optimal transport","author":"kandasamy","year":"0","journal-title":"NeurIPS"},{"key":"ref32","article-title":"Simple and efficient architecture search for convolutional neural networks","author":"elsken","year":"0","journal-title":"ICLRE"},{"key":"ref31","article-title":"Nas-bench-201: Extending the scope of reproducible neural architecture search","author":"dong","year":"0","journal-title":"ICLRE"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00919"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2975987"},{"key":"ref36","article-title":"Evaluating the search phase of neural architecture search","author":"sciuto","year":"0","journal-title":"ICLRE"},{"key":"ref35","article-title":"Efficient architecture search by network transformation","author":"cai","year":"0","journal-title":"AAAI"},{"key":"ref34","article-title":"Net2net: Accelerating learning via knowledge transfer","author":"chen","year":"0","journal-title":"ICLRE"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330648"},{"key":"ref40","article-title":"SMASH: one-shot model architecture search through hypernetworks","author":"brock","year":"0","journal-title":"ICLRE"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00186"},{"key":"ref12","article-title":"Large-scale evolution of image classifiers","author":"real","year":"0","journal-title":"ICML"},{"key":"ref13","article-title":"Big-little net: An efficient multi-scale feature representation for visual and speech recognition","author":"chen","year":"0","journal-title":"ICLRE"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00083"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_25"},{"key":"ref16","article-title":"Highway and residual networks learn unrolled iterative estimation","author":"greff","year":"0","journal-title":"ICLRE"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/0003-2670(86)80028-9"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.478"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.156"},{"key":"ref28","article-title":"Designing neural network architectures using reinforcement learning","author":"baker","year":"0","journal-title":"ICLRE"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref27","article-title":"Green AI","author":"schwartz","year":"2019","journal-title":"ArXiv"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1355"},{"key":"ref6","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"ArXiv"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref8","article-title":"Pelee: A real-time object detection system on mobile devices","author":"wang","year":"0","journal-title":"NeurIPS"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref2","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"0","journal-title":"ICML"},{"key":"ref9","article-title":"Morphnet: Fast & simple resource-constrained structure learning of deep networks","author":"goidon","year":"0","journal-title":"CVPR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref22"},{"key":"ref21","article-title":"Residual networks behave like ensembles of relatively shallow networks","author":"veit","year":"0","journal-title":"NeurIPS"},{"key":"ref42","article-title":"SGDR: stochastic gradient descent with warm restarts","author":"loshchilov","year":"0","journal-title":"ICLRE"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref41","article-title":"Hypernetworks","author":"ha","year":"0","journal-title":"ICLRE"},{"key":"ref23","article-title":"Tiny imagenet visual recognition challenge","author":"le","year":"2015","journal-title":"CS 231N"},{"key":"ref26","article-title":"Quantifying the carbon emissions of machine learning","author":"lacoste","year":"0","journal-title":"NeurIPS"},{"key":"ref25","article-title":"A downsampled variant of imagenet as an alternative to the CIFAR datasets","author":"chrabaszcz","year":"2017","journal-title":"ArXiv"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2021,1,10]]},"location":"Milan, Italy","end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09412970.pdf?arnumber=9412970","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:40:53Z","timestamp":1652182853000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9412970\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9412970","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}