A Unified Framework for Soft Threshold Pruning

A Unified Framework for Soft Threshold Pruning

25 February 2023

Yonghong Tian

Papers citing "A Unified Framework for Soft Threshold Pruning"

7 / 7 papers shown

Title
Magnitude Attention-based Dynamic Pruning Jihye Back Namhyuk Ahn Jang-Hyun Kim 15 2 0 08 Jun 2023
AutoSNN: Towards Energy-Efficient Spiking Neural Networks Byunggook Na J. Mok Seongsik Park Dongjin Lee Hyeokjun Choe Sungroh Yoon 40 63 0 30 Jan 2022
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning Mengnan Shi Chang-rui Liu Jianbin Jiao QiXiang Ye 19 1 0 29 Nov 2021
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 87 54 0 01 Oct 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 121 470 0 08 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 139 679 0 31 Jan 2021
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