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Link to original content: https://dblp.org/rec/conf/cvpr/WiedemannMKS20.ris
Provider: Schloss Dagstuhl - Leibniz Center for Informatics Database: dblp computer science bibliography Content:text/plain; charset="utf-8" TY - CPAPER ID - DBLP:conf/cvpr/WiedemannMKS20 AU - Wiedemann, Simon AU - Mehari, Temesgen AU - Kepp, Kevin AU - Samek, Wojciech TI - Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. BT - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020 SP - 3096 EP - 3104 PY - 2020// UR - https://openaccess.thecvf.com/content_CVPRW_2020/html/w40/Wiedemann_Dithered_Backprop_A_Sparse_and_Quantized_Backpropagation_Algorithm_for_More_CVPRW_2020_paper.html UR - https://doi.org/10.1109/CVPRW50498.2020.00368 ER -