Holistic Filter Pruning for Efficient Deep Neural Networks

Holistic Filter Pruning for Efficient Deep Neural Networks

17 September 2020

Wolfram Burgard

Papers citing "Holistic Filter Pruning for Efficient Deep Neural Networks"

6 / 6 papers shown

Title
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning Tianyi Chen Xiaoyi Qu David Aponte Colby R. Banbury Jongwoo Ko Tianyu Ding Yong Ma Vladimir Lyapunov Ilya Zharkov Luming Liang 83 1 0 11 Sep 2024
Deep Neural Networks pruning via the Structured Perspective Regularization M. Cacciola A. Frangioni Xinlin Li Andrea Lodi 3DPC 30 5 0 28 Jun 2022
Neural Network Pruning Through Constrained Reinforcement Learning Shehryar Malik Muhammad Umair Haider O. Iqbal M. Taj 35 0 0 16 Oct 2021
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections Michael Ulrich Claudius Gläser Fabian Timm 38 27 0 19 Oct 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 137 189 0 19 Mar 2020
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 334 1,049 0 10 Feb 2017