The Power of Sparsity in Convolutional Neural Networks

21 February 2017

Papers citing "The Power of Sparsity in Convolutional Neural Networks"

23 / 23 papers shown

Title
Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets Antonia van Betteray Matthias Rottmann Karsten Kahl 51 0 0 13 Mar 2025
Statistical guarantees for sparse deep learning Johannes Lederer 24 11 0 11 Dec 2022
MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions Antonia van Betteray Matthias Rottmann Karsten Kahl 31 2 0 10 Nov 2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification Yihe Lu Maoguo Gong Wei Zhao Kaiyuan Feng Hao Li VLM 29 0 0 09 Aug 2022
Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing Ahsan Adeel Mario Franco Mohsin Raza K. Ahmed 31 9 0 15 Jul 2022
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks Kevin Lee Hunter Lawrence Spracklen Subutai Ahmad 28 20 0 27 Dec 2021
Training of deep residual networks with stochastic MG/OPT Cyrill Planta Alena Kopanicáková Rolf Krause 35 3 0 09 Aug 2021
Layer Sparsity in Neural Networks Mohamed Hebiri Johannes Lederer 36 10 0 28 Jun 2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles Sicong Liu Junzhao Du Kaiming Nan Zimu Zhou Zhangyang Wang Yingyan Lin 32 30 0 08 Jun 2020
Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation Babak Hosseini Romain Montagne Barbara Hammer 37 22 0 12 Nov 2019
s-LWSR: Super Lightweight Super-Resolution Network Biao Li Jiabin Liu Bo Wang Zhiquan Qi Yong Shi SupR 34 47 0 24 Sep 2019
Patient Knowledge Distillation for BERT Model Compression S. Sun Yu Cheng Zhe Gan Jingjing Liu 78 832 0 25 Aug 2019
Implicit Deep Learning L. Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai AI4CE 34 176 0 17 Aug 2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products Urmish Thakker Jesse G. Beu Dibakar Gope Chu Zhou Igor Fedorov Ganesh S. Dasika Matthew Mattina 27 36 0 07 Jun 2019
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification Yunyang Xiong Hyunwoo Kim Varsha Hedau 48 19 0 07 Apr 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints Shaofeng Cai Gang Chen Beng Chin Ooi Jinyang Gao 25 19 0 03 Apr 2019
Optimally Scheduling CNN Convolutions for Efficient Memory Access Arthur Stoutchinin Francesco Conti Luca Benini 38 43 0 04 Feb 2019
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference Kumar Shridhar F. Laumann Marcus Liwicki BDL UQCV 34 170 0 08 Jan 2019
Implementing Push-Pull Efficiently in GraphBLAS Carl Yang A. Buluç John Douglas Owens 33 38 0 10 Apr 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
Interleaved Group Convolutions for Deep Neural Networks Ting Zhang Guo-Jun Qi Bin Xiao Jingdong Wang 36 81 0 10 Jul 2017
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units S. Shi Xiaowen Chu 29 43 0 25 Apr 2017
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,640 0 03 Jul 2012