42 citations · 182 across the 23 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CV2023
Temporal Contrastive Learning for Spiking Neural Networks
Haonan Qiu, Zeyin Song, Yanqi Chen +6
Biologically inspired spiking neural networks (SNNs) have garnered considerable attention due to their low-energy consumption and spatio-temporal information processing capabilitie…
cs.NE2023★ 4 cited
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout
Tao Sun, Bojian Yin, Sander Bohte
Spiking neural networks (SNNs) have gained attention as models of sparse and event-driven communication of biological neurons, and as such have shown increasing promise for energy-…