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"

7 / 7 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 46 0 0 20 Jun 2024
Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency Dongcheng Zhao Guobin Shen Yiting Dong Yang Li Yi Zeng 46 7 0 23 May 2023
EventMix: An Efficient Augmentation Strategy for Event-Based Data Guobin Shen Dongcheng Zhao Yijing Zeng AI4TS 42 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 129 243 0 24 Feb 2022
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 121 200 0 28 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 123 477 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 124 294 0 04 May 2020