most citedESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks

4 citations · 11 across the 6 of their papers we have counts for

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cs.NE2023★ 4 cited

ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks

Jiangrong Shen, Qi Xu, Jian K. Liu +3

Spiking neural networks (SNNs) have manifested remarkable advantages in power consumption and event-driven property during the inference process. To take full advantage of low powe…

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…