{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:16:56Z","timestamp":1740100616411,"version":"3.37.3"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,14]],"date-time":"2021-09-14T00:00:00Z","timestamp":1631577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,14]],"date-time":"2021-09-14T00:00:00Z","timestamp":1631577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,14]],"date-time":"2021-09-14T00:00:00Z","timestamp":1631577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003711","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003711","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,14]]},"DOI":"10.1109\/socc52499.2021.9739487","type":"proceedings-article","created":{"date-parts":[[2022,3,24]],"date-time":"2022-03-24T21:59:13Z","timestamp":1648159153000},"page":"278-283","source":"Crossref","is-referenced-by-count":0,"title":["A Hierarchical and Reconfigurable Process Element Design for Quantized Neural Networks"],"prefix":"10.1109","author":[{"given":"Yu-Guang","family":"Chen","sequence":"first","affiliation":[{"name":"National Central University,Department of Electrical Engineering,Taoyuan,Taiwan"}]},{"given":"Chi-Wei","family":"Hsu","sequence":"additional","affiliation":[{"name":"National Central University,Department of Electrical Engineering,Taoyuan,Taiwan"}]},{"given":"Hung-Yi","family":"Chiang","sequence":"additional","affiliation":[{"name":"National Central University,Department of Electrical Engineering,Taoyuan,Taiwan"}]},{"given":"Tsung-Han","family":"Hsieh","sequence":"additional","affiliation":[{"name":"National Central University,Department of Electrical Engineering,Taoyuan,Taiwan"}]},{"given":"Jing-Yang","family":"Jou","sequence":"additional","affiliation":[{"name":"National Central University,Department of Electrical Engineering,Taoyuan,Taiwan"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"journal-title":"Ternary Weight Networks","year":"2016","author":"li","key":"ref14"},{"key":"ref15","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","author":"hubara","year":"2017","journal-title":"The Journal of Machine Learning Research"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2654822.2541967"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2786763.2694358"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2749469.2750389"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001178"},{"key":"ref28","article-title":"Fixed point quantization of deep convolutional networks","author":"lin","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9433900"},{"article-title":"WRPN: Wide reduced-precision networks","year":"2017","author":"mishra","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","year":"2015","author":"ren","key":"ref5"},{"article-title":"Apprentice: Using knowledge distillation techniques to improve low-precision network accuracy","year":"2017","author":"mishra","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00460"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2020.2993051"},{"key":"ref9","article-title":"Accurate and efficient 2-bit quantized neural networks","volume":"2019","author":"choi","year":"0","journal-title":"Proc of the 2nd SysML Conference"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00069"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001165"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001179"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001138"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3394885.3439194"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783723"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2932429"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-021-02335-y"}],"event":{"name":"2021 IEEE 34th International System-on-Chip Conference (SOCC)","start":{"date-parts":[[2021,9,14]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2021,9,17]]}},"container-title":["2021 IEEE 34th International System-on-Chip Conference (SOCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9739206\/9739211\/09739487.pdf?arnumber=9739487","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,9]],"date-time":"2022-07-09T02:21:53Z","timestamp":1657333313000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9739487\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,14]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/socc52499.2021.9739487","relation":{},"subject":[],"published":{"date-parts":[[2021,9,14]]}}}