Training for temporal sparsity in deep neural networks, application in video processing

15 July 2021

Papers citing "Training for temporal sparsity in deep neural networks, application in video processing"

6 / 6 papers shown

Title
RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge Adithya Krishna Srikanth Rohit Nudurupati Chandana D G Pritesh Dwivedi André van Schaik M. Mehendale Chetan Singh Thakur 17 10 0 10 Jun 2023
Optimizing the Consumption of Spiking Neural Networks with Activity Regularization Simon Narduzzi Siavash Bigdeli Shih-Chii Liu L. A. Dunbar 16 8 0 04 Apr 2022
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks Kevin Lee Hunter Lawrence Spracklen Subutai Ahmad 21 20 0 27 Dec 2021
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers Yukuan Yang Shuang Wu Lei Deng Tianyi Yan Yuan Xie Guoqi Li MQ 99 110 0 05 Sep 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017
Delta Networks for Optimized Recurrent Network Computation Daniel Neil Junhaeng Lee T. Delbruck Shih-Chii Liu 26 65 0 16 Dec 2016