Temporal Knowledge Sharing enable Spiking Neural Network Learning from
Past and Future

Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future

13 April 2023

Yi Zeng

Papers citing "Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future"

6 / 6 papers shown

Title
Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition Yang Wang Haiyang Mei Qirui Bao Ziqi Wei Mike Zheng Shou Haizhou Li Bo Dong Xin Yang 38 0 0 20 Jun 2024
EventMix: An Efficient Augmentation Strategy for Event-Based Data Guobin Shen Dongcheng Zhao Yijing Zeng AI4TS 23 12 0 24 May 2022
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
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
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