LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks

17 April 2023

Papers citing "LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks"

7 / 7 papers shown

Title
Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks Tianqing Zhang Zixin Zhu Kairong Yu Hongwei Wang 148 0 0 29 Apr 2025
Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement Shu Yang C. Yu Lei Liu Hanzhi Ma Aili Wang Erping Li 42 0 0 20 Mar 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 3 0 05 Mar 2025
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation Zekai Xu Kang You Qinghai Guo Xiang Wang Zhezhi He 30 3 0 12 Jul 2024
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 198 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 124 293 0 04 May 2020
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 119 481 0 26 Mar 2018