{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T14:58:32Z","timestamp":1730213912137,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"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":[[2020,4]]},"DOI":"10.1109\/ddecs50862.2020.9095658","type":"proceedings-article","created":{"date-parts":[[2020,5,19]],"date-time":"2020-05-19T21:07:10Z","timestamp":1589922430000},"page":"1-6","source":"Crossref","is-referenced-by-count":13,"title":["Sensitivity Analysis and Compression Opportunities in DNNs Using Weight Sharing"],"prefix":"10.1109","author":[{"given":"Etienne","family":"Dupuis","sequence":"first","affiliation":[]},{"given":"David","family":"Novo","sequence":"additional","affiliation":[]},{"given":"Ian","family":"O'Connor","sequence":"additional","affiliation":[]},{"given":"Alberto","family":"Bosio","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.40"},{"key":"ref11","article-title":"Soft weight-sharing for neural network compression","volume":"abs 1702 4008","author":"ullrich","year":"2017","journal-title":"ArXiv"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2017.7927280"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.521"},{"key":"ref14","article-title":"Compressing Deep Convolutional Networks using Vector Quantization","author":"gong","year":"2014","journal-title":"ArXiv"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2307\/2346830"},{"key":"ref16","article-title":"On the automatic exploration of weight sharing for deep neural network compression","author":"dupuis","year":"2020","journal-title":"To Appear in Proc DATE"},{"journal-title":"Open neural network exchange","year":"2019","author":"bai","key":"ref17"},{"key":"ref18","article-title":"Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems","volume":"abs 1512 1274","author":"chen","year":"2015","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref4","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"song han","year":"2016","journal-title":"ArXiv"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref6","article-title":"Online Embedding Compression for Text Classification using Low Rank Matrix Factorization","author":"acharya","year":"2018","journal-title":"ArXiv"},{"key":"ref5","article-title":"UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks","author":"baskin","year":"2018","journal-title":"ArXiv"},{"key":"ref8","article-title":"Compressing neural networks with the hashing trick","volume":"abs 1504 4788","author":"chen","year":"2015","journal-title":"CoRR"},{"key":"ref7","article-title":"Distilling the Knowledge in a Neural Network","author":"hinton","year":"2015","journal-title":"ArXiv"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8030292"},{"key":"ref1","article-title":"Deep residual learning for image recognition","volume":"abs 1512 3385","author":"he","year":"2015","journal-title":"CoRR"},{"key":"ref9","article-title":"Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions","author":"wu","year":"2018","journal-title":"ArXiv"},{"key":"ref20","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"}],"event":{"name":"2020 23rd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)","start":{"date-parts":[[2020,4,22]]},"location":"Novi Sad, Serbia","end":{"date-parts":[[2020,4,24]]}},"container-title":["2020 23rd International Symposium on Design and Diagnostics of Electronic Circuits &amp; Systems (DDECS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9093721\/9095556\/09095658.pdf?arnumber=9095658","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T16:06:52Z","timestamp":1656346012000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9095658\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/ddecs50862.2020.9095658","relation":{},"subject":[],"published":{"date-parts":[[2020,4]]}}}