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

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.NE2023★ 3 cited

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

Di Hong, Jiangrong Shen, Yu Qi +1

Spiking Neural Networks (SNNs) are biologically realistic and practically promising in low-power computation because of their event-driven mechanism. Usually, the training of SNNs…