Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization

3 May 2023

Papers citing "Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization"

8 / 8 papers shown

Title
Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Tianqing Zhang Zixin Zhu Kairong Yu Hongwei Wang 49 0 0 29 Apr 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks Kairong Yu Chengting Yu Tianqing Zhang Xiaochen Zhao Shu Yang Hongwei Wang Qiang Zhang Qi Xu 66 2 0 05 Mar 2025
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer Yufei Guo Xiaode Liu Y. Chen Weihang Peng Yuhan Zhang Zhe Ma MQ 36 0 0 28 Feb 2025
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks Yulong Huang Xiaopeng Lin Hongwei Ren Haotian Fu Yue Zhou Zunchang Liu Biao Pan Bojun Cheng 55 8 0 20 Feb 2025
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 100 191 0 08 Mar 2023
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 109 240 0 24 Feb 2022
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 168 0 28 Feb 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 114 264 0 04 May 2020