Uncovering the Representation of Spiking Neural Networks Trained with
Surrogate Gradient

Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient

25 April 2023

Yuhang Li

Youngeun Kim

Hyoungseob Park

Priyadarshini Panda

Papers citing "Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient"

4 / 4 papers shown

Title
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
AutoSNN: Towards Energy-Efficient Spiking Neural Networks Byunggook Na J. Mok Seongsik Park Dongjin Lee Hyeokjun Choe Sungroh Yoon 40 63 0 30 Jan 2022
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 197 0 28 Feb 2021
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations Saima Sharmin Nitin Rathi Priyadarshini Panda Kaushik Roy AAML 106 85 0 23 Mar 2020