{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T15:50:11Z","timestamp":1778082611633,"version":"3.51.4"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"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":[[2019,6]]},"DOI":"10.1109\/cvpr.2019.00448","type":"proceedings-article","created":{"date-parts":[[2020,1,10]],"date-time":"2020-01-10T02:06:13Z","timestamp":1578621973000},"page":"4345-4354","source":"Crossref","is-referenced-by-count":259,"title":["Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss"],"prefix":"10.1109","author":[{"given":"Sangil","family":"Jung","sequence":"first","affiliation":[{"name":"Samsung"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changyong","family":"Son","sequence":"additional","affiliation":[{"name":"Samsung"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seohyung","family":"Lee","sequence":"additional","affiliation":[{"name":"Samsung"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinwoo","family":"Son","sequence":"additional","affiliation":[{"name":"Samsung"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jae-Joon","family":"Han","sequence":"additional","affiliation":[{"name":"Samsung"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youngjun","family":"Kwak","sequence":"additional","affiliation":[{"name":"Samsung"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sung Ju","family":"Hwang","sequence":"additional","affiliation":[{"name":"KAIST"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changkyu","family":"Choi","sequence":"additional","affiliation":[{"name":"Samsung"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00826"},{"key":"ref10","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017"},{"key":"ref11","first-page":"4107","article-title":"Binarized neural networks","author":"hubara","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref12","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","author":"hubara","year":"2016","journal-title":"arXiv preprint arXiv 1609 04802"},{"key":"ref13","article-title":"Squeezenet: Alexnet-level accuracy with 50x fewer parameters and&#x00A1; 0.5 mb model size","author":"iandola","year":"2016","journal-title":"arXiv preprint arXiv 1602 07360"},{"key":"ref14","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Cite-seer Tech Rep"},{"key":"ref15","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":"ref16","article-title":"Ternary weight networks","author":"li","year":"2016"},{"key":"ref17","first-page":"345","article-title":"Towards accurate binary convolutional neural network","author":"lin","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref18","first-page":"3288","article-title":"Bayesian compression for deep learning","author":"louizos","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref19","article-title":"Discovering low-precision networks close to full-precision networks for efficient embedded inference","author":"mckinstry","year":"2018"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-017-1750-y"},{"key":"ref4","article-title":"Pact: Parameterized clipping activation for quantized neural networks","author":"choi","year":"2018"},{"key":"ref27","article-title":"Dorefanet: Training low bitwidth convolutional neural networks with low bitwidth gradients","author":"zhou","year":"2016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.574"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00452"},{"key":"ref29","article-title":"Trained ternary quantization","author":"zhu","year":"2016"},{"key":"ref5","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":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2015"},{"key":"ref2","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"bengio","year":"2013"},{"key":"ref9","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref1","author":"achterhold","year":"2018","journal-title":"Variational network quantization"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.761"},{"key":"ref22","first-page":"525","article-title":"Xnornet: Imagenet classification using binary convolutional neural networks","author":"rastegari","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.189"},{"key":"ref24","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-01237-3_23","article-title":"Lq-nets: Learned quantization for highly accurate and compact deep neural networks","author":"zhang","year":"2018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00460"}],"event":{"name":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","location":"Long Beach, CA, USA","start":{"date-parts":[[2019,6,15]]},"end":{"date-parts":[[2019,6,20]]}},"container-title":["2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8938205\/8953184\/08954092.pdf?arnumber=8954092","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T19:37:52Z","timestamp":1660246672000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8954092\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/cvpr.2019.00448","relation":{},"subject":[],"published":{"date-parts":[[2019,6]]}}}