Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units

25 April 2017

Papers citing "Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units"

9 / 9 papers shown

Title
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models Muyang Li Ji Lin Chenlin Meng Stefano Ermon Song Han Jun-Yan Zhu DiffM 40 45 0 03 Nov 2022
Dual-side Sparse Tensor Core Yang-Feng Wang Chen Zhang Zhiqiang Xie Cong Guo Yunxin Liu Jingwen Leng 25 75 0 20 May 2021
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 59 82 0 02 Jul 2020
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format S. Shi Qiang-qiang Wang Xiaowen Chu 16 10 0 29 May 2020
Sparse Deep Neural Network Graph Challenge J. Kepner Simon Alford V. Gadepally Michael Jones Lauren Milechin Ryan A. Robinett S. Samsi GNN 11 49 0 02 Sep 2019
Sparse Deep Neural Network Exact Solutions J. Kepner V. Gadepally Hayden Jananthan Lauren Milechin S. Samsi 20 14 0 06 Jul 2018
Recurrent Residual Module for Fast Inference in Videos Bowen Pan Wuwei Lin Xiaolin Fang Chaoqin Huang Bolei Zhou Cewu Lu ObjD 28 33 0 27 Feb 2018
Enabling Massive Deep Neural Networks with the GraphBLAS J. Kepner Manoj Kumar José Moreira P. Pattnaik M. Serrano H. Tufo GNN 22 33 0 09 Aug 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 23 479 0 24 May 2017