All Papers

Title

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training
Spiking Neural Networks

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks

9 January 2024

ArXiv (abs)PDF HTML

Papers citing "Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks"

4 / 4 papers shown

Title
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Yufei Guo Yuhan Zhang Zhou Jie Xiaode Liu Xin Tong Y. Chen Weihang Peng Zhe Ma MQ 55 0 0 09 Jun 2025
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer Yufei Guo Xiaode Liu Y. Chen Weihang Peng Yuhan Zhang Zhe Ma MQ 161 3 0 28 Feb 2025
Random orthogonal additive filters: a solution to the vanishing/exploding gradient of deep neural networks Andrea Ceni ODL 72 6 0 03 Oct 2022
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks Nitin Rathi Kaushik Roy 178 138 0 09 Aug 2020