New Preprint on Quantization-Aware Training with SNNs

We have a new preprint along with code that simplifies the process of training quantized spiking neural networks in snnTorch.

We propose several techniques to smooth the process of training QSNNs, one of which is the use of cosine annealing and periodic boosting, which provides the network additional opportunities to continue searching for more optimized solution spaces.

Github: https://github.com/jeshraghian/QSNNs

Preprint: https://arxiv.org/abs/2202.07221