InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks

10 July 2023

Papers citing "InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks"

5 / 5 papers shown

Title
Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization Yu-Zhu Guo Weihang Peng Y. Chen Liwen Zhang Xiaode Liu Xuhui Huang Zhe Ma 92 34 0 03 May 2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks Tong Bu Wei Fang Jianhao Ding Penglin Dai Zhaofei Yu Tiejun Huang 102 191 0 08 Mar 2023
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 112 240 0 24 Feb 2022
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
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 116 292 0 04 May 2020