{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T15:03:06Z","timestamp":1773414186237,"version":"3.50.1"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"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":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8852294","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-6","source":"Crossref","is-referenced-by-count":8,"title":["ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search"],"prefix":"10.1109","author":[{"given":"Kevin A.","family":"Laube","sequence":"first","affiliation":[]},{"given":"Andreas","family":"Zell","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","article-title":"Deep Pyramidal Residual Networks","author":"han","year":"2016","journal-title":"Arxiv 1610 02915"},{"key":"ref30","article-title":"Wide Residual Networks","author":"zagoruyko","year":"2016","journal-title":"arXiv 1605 07146"},{"key":"ref10","article-title":"Regularized Evolution for Image Classifier Architecture Search","author":"real","year":"2018","journal-title":"arXiv 1802 01548"},{"key":"ref11","article-title":"AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search","author":"wang","year":"2018","journal-title":"Arxiv 1805 07440"},{"key":"ref12","article-title":"Simple And Efficient Architecture Search for Convolutional Neural Networks","author":"elsken","year":"2017","journal-title":"Arxiv 1711 04528"},{"key":"ref13","article-title":"Neural Architecture Optimization","author":"luo","year":"2018","journal-title":"Arxiv 1808 07233"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.154"},{"key":"ref15","article-title":"SMASH: OneShot Model Architecture Search through HyperNetworks","author":"brock","year":"2017","journal-title":"Arxiv 1708 05344"},{"key":"ref16","article-title":"DARTS: Differentiable Architecture Search","author":"liu","year":"2018","journal-title":"Arxiv 1806 09055"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_32"},{"key":"ref18","article-title":"ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design","author":"ma","year":"2018","journal-title":"arXiv 1807 11164"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref4","article-title":"Identity Mappings in Deep Residual Networks","author":"he","year":"2016","journal-title":"Arxiv 1603 050274"},{"key":"ref27","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"ICLRE"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref6","article-title":"Neural Architecture Search with Reinforcement Learning","author":"zoph","year":"2016","journal-title":"arXiv 1611 01578"},{"key":"ref29","article-title":"SGDR: Stochastic Gradient Descent with Warm Restarts","author":"loshchilov","year":"2016","journal-title":"arXiv 1608 03983"},{"key":"ref5","article-title":"Densely Connected Convolutional Networks","author":"huang","year":"2016","journal-title":"arXiv 1608 06993"},{"key":"ref8","article-title":"Efficient Neural Architecture Search via Parameter Sharing","author":"pham","year":"2018","journal-title":"arXiv 1802 03268"},{"key":"ref7","article-title":"Learning Transferable Architectures for Scalable Image Recognition","author":"zoph","year":"2017","journal-title":"arXiv 1707 07012"},{"key":"ref2","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref9","article-title":"Progressive Neural Architecture Search","author":"liu","year":"2017","journal-title":"Arxiv 1712 00559"},{"key":"ref1","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref20","article-title":"ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices","author":"zhang","year":"2017","journal-title":"arXiv 1707 01083"},{"key":"ref22","article-title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref24","article-title":"TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems","author":"abadi","year":"0"},{"key":"ref23","article-title":"FractalNet: Ultra-Deep Neural Networks without Residuals","author":"larsson","year":"2016","journal-title":"arxiv 1605 07646"},{"key":"ref26","article-title":"Improved Regularization of Convolutional Neural Networks with Cutout","author":"devries","year":"2017","journal-title":"arXiv 1708 04552"},{"key":"ref25","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Tech Report"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","location":"Budapest, Hungary","start":{"date-parts":[[2019,7,14]]},"end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08852294.pdf?arnumber=8852294","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:55:42Z","timestamp":1658094942000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8852294\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8852294","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}