{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T10:25:14Z","timestamp":1730283914208,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"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":[[2019,8]]},"DOI":"10.1109\/mwscas.2019.8885263","type":"proceedings-article","created":{"date-parts":[[2019,10,31]],"date-time":"2019-10-31T19:44:38Z","timestamp":1572551078000},"page":"243-246","source":"Crossref","is-referenced-by-count":3,"title":["Empirical Analysis of Fixed Point Precision Quantization of CNNs"],"prefix":"10.1109","author":[{"given":"Anaam","family":"Ansari","sequence":"first","affiliation":[]},{"given":"Tokunbo","family":"Ogunfunmi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2017.7858419"},{"article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","year":"2015","author":"han","key":"ref11"},{"key":"ref12","first-page":"1737","article-title":"Deep learning with limited numerical precision","author":"gupta","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref13","article-title":"Fixed point quantization of deep convolutional networks","volume":"abs 1511 6393","author":"lin","year":"2015","journal-title":"CoRR"},{"key":"ref14","article-title":"Compressing deep convolutional networks using vector quantization","volume":"abs 1412 6115","author":"gong","year":"2014","journal-title":"CoRR"},{"key":"ref15","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","volume":"abs 1609 7061","author":"hubara","year":"2016","journal-title":"CoRR"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2017.8335571"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SiPS.2018.8598348"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/GHTC.2018.8601558"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SIPS.1998.715819"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"simonyan","key":"ref4"},{"key":"ref3","article-title":"Going deeper with convolutions","volume":"abs 1409 4842","author":"szegedy","year":"2014","journal-title":"CoRR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.30"},{"key":"ref5","article-title":"Hardware-oriented approximation of convolutional neural networks","volume":"abs 1604 3168","author":"gysel","year":"2016","journal-title":"CoRR"},{"key":"ref8","article-title":"Squeezenet: Alexnet-level accuracy with 50x fewer parameters and <1mb model size","volume":"abs 1602 7360","author":"iandola","year":"2016","journal-title":"CoRR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2017.8009163"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2016.7428073"},{"year":"0","key":"ref21","article-title":"Alexnet forward path"}],"event":{"name":"2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)","start":{"date-parts":[[2019,8,4]]},"location":"Dallas, TX, USA","end":{"date-parts":[[2019,8,7]]}},"container-title":["2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8882388\/8884793\/08885263.pdf?arnumber=8885263","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T17:51:05Z","timestamp":1658080265000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8885263\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/mwscas.2019.8885263","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}