73 citations · 495 across the 39 of their papers we have counts for
Showing 2021 · cs.NEShow all
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cs.NE2021★ 55 cited
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
A prominent technique for reducing the memory footprint of Spiking Neural Networks (SNNs) without decreasing the accuracy significantly is quantization. However, the state-of-the-a…
cs.NE2021★ 5 cited
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
Spiking Neural Networks (SNNs) bear the potential of efficient unsupervised and continual learning capabilities because of their biological plausibility, but their complexity still…