Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks

27 October 2022

Papers citing "Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks"

8 / 8 papers shown

Title
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications Zhanglu Yan Shida Wang Kaiwen Tang Wong-Fai Wong 11 1 0 16 Aug 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 105 193 0 08 Mar 2023
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 112 242 0 24 Feb 2022
Optimized Potential Initialization for Low-latency Spiking Neural Networks Tong Bu Jianhao Ding Zhaofei Yu Tiejun Huang 99 87 0 03 Feb 2022
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 197 0 28 Feb 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
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding X. Zhang Ningning Ma Jungong Han Guiguang Ding Jian-jun Sun 117 1,531 0 11 Jan 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