159 citations · 164 across the 2 of their papers we have counts for
2 papers
cs.NE2022★ 5 cited
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks
Luke Taylor, Andrew King, Nicol Harper
Spiking neural networks (SNNs), particularly the single-spike variant in which neurons spike at most once, are considerably more energy efficient than standard artificial neural ne…
cs.LG2017★ 159 cited
Improving Deep Learning using Generic Data Augmentation
Luke Taylor, Geoff Nitschke
Deep artificial neural networks require a large corpus of training data in order to effectively learn, where collection of such training data is often expensive and laborious. Data…