{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T10:49:50Z","timestamp":1730198990019,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020,1]]},"DOI":"10.1109\/asp-dac47756.2020.9045739","type":"proceedings-article","created":{"date-parts":[[2020,3,27]],"date-time":"2020-03-27T12:27:10Z","timestamp":1585312030000},"page":"289-294","source":"Crossref","is-referenced-by-count":2,"title":["Designing Efficient Shortcut Architecture for Improving the Accuracy of Fully Quantized Neural Networks Accelerator"],"prefix":"10.1109","author":[{"given":"Baoting","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Longjun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanming","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongbin","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nanning","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights","author":"zhou","year":"2017","journal-title":"arXiv Computer Vision and Pattern Recognition"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SiPS.2014.6986082"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2016.7418007"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001163"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783723"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953288"},{"key":"ref16","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","author":"simonyan","year":"2014","journal-title":"Computer Science"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00069"},{"key":"ref18","article-title":"Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks","author":"sharify","year":"2018","journal-title":"Design Automation Conference"},{"key":"ref19","first-page":"770","article-title":"Deep Residual Learning for Image Recognition","author":"he","year":"2015","journal-title":"Computer Vision and Pattern Recognition"},{"key":"ref4","article-title":"Natural Language Processing (Almost) from Scratch","author":"collobert","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"ref6","article-title":"Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1","author":"courbariaux","year":"2016","journal-title":"arXiv Learning"},{"key":"ref5","article-title":"INsight: A Neuromorphic Computing System for Evaluation of Large Neural Networks","author":"chung","year":"2015","journal-title":"Computer Science"},{"key":"ref8","article-title":"DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients","author":"zhou","year":"2016","journal-title":"arXiv Neural and Evolutionary Computing"},{"key":"ref7","first-page":"525","article-title":"XNOR-Net: Imagenet Classification Using Binary Convolutional Neural Networks","author":"rastegari","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref2","volume":"25","author":"krizhevsky","year":"2012","journal-title":"ImageNet Classification with Deep Convolutional Neural Networks"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref9","article-title":"Ternary Weight Networks","author":"li","year":"2016","journal-title":"arXiv Computer Vision and Pattern Recognition"}],"event":{"name":"2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC)","start":{"date-parts":[[2020,1,13]]},"location":"Beijing, China","end":{"date-parts":[[2020,1,16]]}},"container-title":["2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9036752\/9045099\/09045739.pdf?arnumber=9045739","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:45:24Z","timestamp":1656344724000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9045739\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/asp-dac47756.2020.9045739","relation":{},"subject":[],"published":{"date-parts":[[2020,1]]}}}