{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T12:30:25Z","timestamp":1730205025348,"version":"3.28.0"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/cec48606.2020.9185856","type":"proceedings-article","created":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T23:34:48Z","timestamp":1599176088000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach"],"prefix":"10.1109","author":[{"given":"Jeovane Honorio","family":"Alves","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucas Ferrari de","family":"Oliveira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Progressive neural architecture search","author":"liu","year":"2017","journal-title":"arXiv preprint arXiv 1712 00559"},{"key":"ref38","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv preprint arXiv 1704 04861"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.154"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2019.8914267"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref37","first-page":"6848","article-title":"Shufflenet: An extremely effi-cient convolutional neural network for mobile devices","author":"zhang","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref36","article-title":"Squeezenet: Alexnet-level accuracy with 50x fewer parameters and¡ 0.5 mb model size","author":"iandola","year":"2016","journal-title":"arXiv preprint arXiv 1602 07360"},{"key":"ref35","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref10","first-page":"2902","article-title":"Large-scale evolution of image classifiers","author":"real","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref11","article-title":"Evolving deep neural networks","author":"miikkulainen","year":"2017","journal-title":"arXiv preprint arXiv 1703 00410"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3071178.3071229"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00257"},{"key":"ref14","article-title":"Neural architecture search with reinforcement learning","author":"zoph","year":"2016","journal-title":"arXiv preprint arXiv 1611 01578"},{"key":"ref15","first-page":"4053","article-title":"Convolutional neural fabrics","author":"saxena","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref16","article-title":"Efficient neural architecture search via parameter sharing","author":"pham","year":"2018","journal-title":"ICML"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00138"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2906369"},{"key":"ref19","article-title":"Pcdarts: Partial channel connections for memory-efficient differentiable architecture search","author":"xu","year":"2019","journal-title":"arXiv preprint arXiv 1907 09977"},{"key":"ref28","article-title":"Nas evaluation is frustratingly hard","author":"yang","year":"2020","journal-title":"International Conference on Learning Representations"},{"key":"ref4","first-page":"12","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","volume":"4","author":"szegedy","year":"2017","journal-title":"AAAI"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref27"},{"key":"ref3","article-title":"Efficient multi-objective neural architecture search via lamarckian evolution","author":"elsken","year":"1804","journal-title":"ArXiv e-prints"},{"key":"ref6","article-title":"Learning transferable architectures for scalable image recognition","volume":"2","author":"zoph","year":"2017","journal-title":"arXiv preprint arXiv 1707 07012"},{"key":"ref29","article-title":"Wide residual networks","author":"zagoruyko","year":"2016","journal-title":"arXiv preprint arXiv 1605 07146"},{"key":"ref5","article-title":"Darts: Differentiable architecture search","author":"liu","year":"2018","journal-title":"arXiv preprint arXiv 1806 09055"},{"key":"ref8","article-title":"Designing neural network architectures using reinforcement learning","author":"baker","year":"2016","journal-title":"arXiv preprint arXiv 1611 02167"},{"key":"ref7","article-title":"Regularized evolution for image classifier architecture search","author":"real","year":"2018","journal-title":"arXiv preprint arXiv 1802 01808"},{"key":"ref2","article-title":"Simple and efficient architecture search for convolutional neural networks","author":"elsken","year":"2017","journal-title":"arXiv preprint arXiv 1711 09020"},{"key":"ref9","article-title":"Hierarchical representations for efficient architecture search","author":"liu","year":"2017","journal-title":"arXiv preprint arXiv 1711 00540"},{"key":"ref1","article-title":"Neural architecture search: A survey","author":"elsken","year":"2018","journal-title":"arXiv preprint arXiv 1808 05089"},{"key":"ref20","first-page":"87","article-title":"Gene expression programming: A new adaptive algorithm for solving problems","volume":"13","author":"ferreira","year":"2001","journal-title":"Complex Systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref21","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref24","article-title":"Improved regularization of convolutional neural networks with cutout","author":"devries","year":"2017","journal-title":"arXiv preprint arXiv 1708 04552"},{"key":"ref23","article-title":"Sgdr: Stochastic gradient descent with warm restarts","author":"loshchilov","year":"2016","journal-title":"arXiv preprint arXiv 1608 03983"},{"key":"ref26","article-title":"Fractalnet: Ultra-deep neural networks without residuals","author":"larsson","year":"2016","journal-title":"arXiv preprint arXiv 1605 07648"},{"key":"ref25","article-title":"Autoaugment: Learning augmentation policies from data","author":"cubuk","year":"2018","journal-title":"arXiv preprint arXiv 1805 09501"}],"event":{"name":"2020 IEEE Congress on Evolutionary Computation (CEC)","start":{"date-parts":[[2020,7,19]]},"location":"Glasgow, United Kingdom","end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 IEEE Congress on Evolutionary Computation (CEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9178820\/9185488\/09185856.pdf?arnumber=9185856","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:55:07Z","timestamp":1656345307000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9185856\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/cec48606.2020.9185856","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}