{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T20:33:37Z","timestamp":1793478817885,"version":"4.5.0"},"reference-count":27,"publisher":"IEEE","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China (NSFC)","doi-asserted-by":"publisher","award":["61904047,61732020"],"award-info":[{"award-number":["61904047,61732020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,2,1]]},"DOI":"10.23919\/date51398.2021.9473929","type":"proceedings-article","created":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T22:11:46Z","timestamp":1629843106000},"page":"1586-1591","source":"Crossref","is-referenced-by-count":13,"title":["Reliability-Driven Neuromorphic Computing Systems Design"],"prefix":"10.23919","author":[{"given":"Qi","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junpeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Geng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Song","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoqing","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2744769.2744930"},{"key":"ref11","first-page":"19","article-title":"Accelerator-friendly neural-network training: learning variations and defects in RRAM crossbar","author":"chen","year":"0","journal-title":"Proc DATE"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/BF00972518"},{"key":"ref13","first-page":"180","article-title":"RRAM defect modeling and failure analysis based on march test and a novel squeeze-search scheme","volume":"64","author":"chen","year":"2014","journal-title":"Theory of Computing"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2003.813457"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/VLSIT.2012.6242466"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317742"},{"key":"ref17","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref18","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref19","first-page":"333","article-title":"Modifying training algorithms for improved fault tolerance","volume":"1","author":"chiu","year":"0","journal-title":"Proc IJCNN"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/NVMSA.2017.8064465"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS45731.2020.9180923"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.vlsi.2017.11.001"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.vlsi.2019.09.008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2017.7858421"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062310"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2019.2944582"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3365576"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062248"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2744769.2744795"},{"key":"ref20","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1137\/0105003"},{"key":"ref21","first-page":"6389","article-title":"Visualizing the loss landscape of neural nets","author":"li","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref23","first-page":"265","article-title":"TensorFlow: A system for large-scale machine learning","author":"abadi","year":"0","journal-title":"Proc OSDI"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref25","author":"krizhevsky","year":"2009","journal-title":"Learning multiple layers of features from tiny images"}],"event":{"name":"2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)","location":"Grenoble, France","start":{"date-parts":[[2021,2,1]]},"end":{"date-parts":[[2021,2,5]]}},"container-title":["2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9473901\/9473226\/09473929.pdf?arnumber=9473929","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T21:41:28Z","timestamp":1643319688000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9473929\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,1]]},"references-count":27,"URL":"https:\/\/doi.org\/10.23919\/date51398.2021.9473929","relation":{},"subject":[],"published":{"date-parts":[[2021,2,1]]}}}