Latency and accuracy tradeoffs in Spiking Neural Networks
Spiking neural networks are attractive for low-power speech command recognition, yet their latency has received far less attention than their energy efficiency, and their multi-timestep execution is widely assumed to make them slower than quantized neural networks. This paper challenges the assumption that more local t...
Zhang-Lu Yan, Zi-Xuan Zhu, Kaiwen Tang et al.
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