{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:59:30Z","timestamp":1771703970371,"version":"3.50.1"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9207281","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:40:33Z","timestamp":1601426433000},"page":"1-7","source":"Crossref","is-referenced-by-count":13,"title":["Effective Post-Training Quantization Of Neural Networks For Inference on Low Power Neural Accelerator"],"prefix":"10.1109","author":[{"given":"Alexander","family":"Demidovskij","sequence":"first","affiliation":[]},{"given":"Eugene","family":"Smirnov","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"2849","article-title":"Fixed point quantization of deep convolutional networks","author":"lin","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5220\/0006651305730580"},{"key":"ref12","article-title":"Quantizing deep convolutional networks for efficient inference: A whitepaper","author":"krishnamoorthi","year":"2018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.bica.2013.07.005"},{"key":"ref14","first-page":"375","article-title":"Towards automatic manipulation of arbitrary structures in connectivist paradigm with tensor product variable binding","author":"demidovskij","year":"2019","journal-title":"International Conference on Neuroinformatics"},{"key":"ref15","article-title":"Failout: Achieving failure-resilient inference in distributed neural networks","author":"yousefpour","year":"2020"},{"key":"ref4","first-page":"3123","article-title":"Binaryconnect: Training deep neural networks with binary weights during propagations","author":"courbariaux","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref3","article-title":"Towards the limit of network quantization","author":"choi","year":"2016"},{"key":"ref6","article-title":"Incremental network quantization: Towards lossless cnns with low-precision weights","author":"zhou","year":"2017"},{"key":"ref5","first-page":"1737","article-title":"Deep learning with limited numerical precision","author":"gupta","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8342121"},{"key":"ref7","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2018.8297274"},{"key":"ref1","first-page":"2036","article-title":"Speech recognition and understanding on hardware-accelerated dsp","author":"stemmer","year":"2017","journal-title":"InterSpeech"},{"key":"ref9","first-page":"6869","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","volume":"18","author":"hubara","year":"2017","journal-title":"The Journal of Machine Learning Research"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","location":"Glasgow, United Kingdom","start":{"date-parts":[[2020,7,19]]},"end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09207281.pdf?arnumber=9207281","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:54:08Z","timestamp":1656453248000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207281\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9207281","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}