{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T23:38:19Z","timestamp":1776209899666,"version":"3.50.1"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"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":[[2019,11]]},"DOI":"10.1109\/iccad45719.2019.8942147","type":"proceedings-article","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T00:44:25Z","timestamp":1578012265000},"page":"1-7","source":"Crossref","is-referenced-by-count":47,"title":["Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning"],"prefix":"10.1109","author":[{"given":"Chengyue","family":"Gong","sequence":"first","affiliation":[]},{"given":"Zixuan","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Dilin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yibo","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Qiang","family":"Liu","sequence":"additional","affiliation":[]},{"given":"David Z.","family":"Pan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-018-0059-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304076"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00881"},{"key":"ref4","volume-title":"Mixed precision quantization of convnets via differentiable neural architecture search","author":"Wu","year":"2018"},{"key":"ref5","article-title":"ProxylessNAS: Direct neural architecture search on target task and hardware","volume-title":"Proc. ICLR","author":"Cai","year":"2019"},{"key":"ref6","volume-title":"Exploring shared structures and hierarchies for multiple nlp tasks","author":"Chen","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref8","volume-title":"SNAS: stochastic neural architecture search","volume":"abs\/1812.09926","author":"Xie","year":"2018"},{"key":"ref9","volume-title":"Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search","author":"Wu","year":"2018"},{"key":"ref10","volume-title":"Single path one-shot neural architecture search with uniform sampling","author":"Guo","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3123939.3124552"},{"key":"ref12","first-page":"2082","article-title":"Learning structured sparsity in deep neural networks","volume-title":"Proc. NeurIPS","author":"Wen","year":"2016"},{"key":"ref13","volume-title":"Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation","volume":"abs\/1801.04381","author":"Sandler","year":"2018"},{"key":"ref14","volume-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3243479"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref18","first-page":"7827","article-title":"Neural architecture optimization","volume-title":"Proc. NeurIPS","author":"Luo","year":"2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3240796"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00368"},{"key":"ref21","volume-title":"Categorical reparameterization with gumbel-softmax","author":"Jang","year":"2016"},{"key":"ref22","first-page":"3123","article-title":"Binaryconnect: Training deep neural networks with binary weights during propagations","volume-title":"Proc. NeurIPS","author":"Courbariaux","year":"2015"},{"key":"ref23","volume-title":"Rethinking the value of network pruning","author":"Liu","year":"2018"},{"key":"ref24","volume-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"Han","year":"2015"},{"key":"ref25","volume-title":"Quantizing deep convolutional networks for efficient inference: A whitepaper","volume":"abs\/1806.08342","author":"Krishnamoorthi","year":"2018"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"ref29","first-page":"5151","article-title":"Scalable methods for 8-bit training of neural networks","volume-title":"Proc. NeurIPS","author":"Banner","year":"2018"},{"key":"ref30","volume-title":"Continuous control with deep reinforcement learning","author":"Lillicrap","year":"2015"},{"key":"ref31","volume-title":"Stochastic layer-wise precision in deep neural networks","author":"Lacey","year":"2018"},{"key":"ref32","volume-title":"Darts: Differentiable architecture search","author":"Liu","year":"2018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00069"},{"key":"ref35","volume-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs\/1409.1556","author":"Simonyan","year":"2014"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref37","volume-title":"mixup: Beyond empirical risk minimization","author":"Zhang","year":"2017"},{"key":"ref38","volume-title":"Efficient neural architecture search via parameter sharing","author":"Pham","year":"2018"},{"key":"ref39","volume-title":"Bag of tricks for image classification with convolutional neural networks","author":"Xie","year":"2018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"}],"event":{"name":"2019 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD)","location":"Westminster, CO, USA","start":{"date-parts":[[2019,11,4]]},"end":{"date-parts":[[2019,11,7]]}},"container-title":["2019 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8931666\/8942037\/08942147.pdf?arnumber=8942147","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T00:40:07Z","timestamp":1706056807000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8942147\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/iccad45719.2019.8942147","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}