{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T23:51:00Z","timestamp":1773877860079,"version":"3.50.1"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,5]]},"DOI":"10.1109\/dac18074.2021.9586286","type":"proceedings-article","created":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T23:30:34Z","timestamp":1636414234000},"page":"1039-1044","source":"Crossref","is-referenced-by-count":16,"title":["Fault-free: A Fault-resilient Deep Neural Network Accelerator based on Realistic ReRAM Devices"],"prefix":"10.1109","author":[{"given":"Hyein","family":"Shin","sequence":"first","affiliation":[]},{"given":"Myeonggu","family":"Kang","sequence":"additional","affiliation":[]},{"given":"Lee-Sup","family":"Kim","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317870"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2019.8715178"},{"key":"ref12","author":"merity","year":"2016","journal-title":"Pointer sentinel mixture models"},{"key":"ref13","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc NeurIPS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001139"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3400302.3415665"},{"key":"ref16","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc ICLR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00037"},{"key":"ref18","article-title":"Google&#x2019;s neural machine translation system: Bridging the gap between human and machine translation","volume":"abs 1609 8144","author":"wu","year":"2016","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2017.2776980"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2014.58"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2014.12"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001140"},{"key":"ref8","article-title":"Deep residual learning for image recognition","volume":"abs 1512 3385","author":"he","year":"2015","journal-title":"CoRR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218605"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-4717"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062248"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3307650.3322271"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2019.8662395"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ASP-DAC47756.2020.9045730"},{"key":"ref23","author":"zaremba","year":"2014","journal-title":"Recurrent Neural Network Regularization"}],"event":{"name":"2021 58th ACM\/IEEE Design Automation Conference (DAC)","location":"San Francisco, CA, USA","start":{"date-parts":[[2021,12,5]]},"end":{"date-parts":[[2021,12,9]]}},"container-title":["2021 58th ACM\/IEEE Design Automation Conference (DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9585997\/9586083\/09586286.pdf?arnumber=9586286","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:53Z","timestamp":1652201753000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9586286\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,5]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/dac18074.2021.9586286","relation":{},"subject":[],"published":{"date-parts":[[2021,12,5]]}}}