{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T23:28:33Z","timestamp":1779924513162,"version":"3.53.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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]]},"DOI":"10.1109\/dft50435.2020.9250812","type":"proceedings-article","created":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T22:04:48Z","timestamp":1605132288000},"page":"1-6","source":"Crossref","is-referenced-by-count":10,"title":["Reliability Evaluation of Pruned Neural Networks against Errors on Parameters"],"prefix":"10.1109","member":"263","reference":[{"key":"ref10","article-title":"Japanese authorities decry ongoing robot failures at fukushima","author":"kolodny","year":"2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.1975.4328188"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2010.2042613"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LATW.2018.8347234"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/72.80206"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1991.155374"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/23.659057"},{"key":"ref17","article-title":"Evidences of x tolerance for digital implementations of artificial neural networks: one year MPTB flight results","author":"velazco","year":"1999","journal-title":"European Conference on Radiation and Its Effects on Components and Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE-Asia.2016.7804818"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CCWC.2018.8301749"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2411285"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"ref6","article-title":"Predicting Parameters in Deep Learning","author":"denil","year":"2013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298891"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00083"},{"key":"ref7","article-title":"Learning both weights and connections for efficient neural networks","author":"han","year":"2015","journal-title":"Neural Information Processing Systems"},{"key":"ref2","first-page":"2493","article-title":"Natural Language Processing (Almost) from Scratch","author":"collobert","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.1145\/2678373.2665726","article-title":"Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors","author":"kim","year":"2014","journal-title":"ACM SIGARCH Computer Architecture News"},{"key":"ref1","article-title":"ImageNet Classification with Deep Convolutional Neural Networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC.2018.8547532"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICESS.2019.8782505"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.23919\/DATE48585.2020.9116571"},{"key":"ref24","article-title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","author":"ioffe","year":"2015","journal-title":"International on Machine Learning JMLR org"},{"key":"ref23","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","volume":"abs 1409 1556","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref26","author":"wang","year":"0","journal-title":"Neural Network Pruning PyTorch Implementation"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K16-1029"}],"event":{"name":"2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","location":"Frascati, Italy","start":{"date-parts":[[2020,10,19]]},"end":{"date-parts":[[2020,10,21]]}},"container-title":["2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9250742\/9250725\/09250812.pdf?arnumber=9250812","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:44:53Z","timestamp":1656344693000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9250812\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/dft50435.2020.9250812","relation":{},"subject":[],"published":{"date-parts":[[2020]]}}}