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3:19
YouTube
Marktechpost AI
Toward Relative Positional Encoding in Spiking Transformers
Toward Relative Positional Encoding in Spiking Transformers Abstract: Spiking neural networks (SNNs) are bio-inspired networks that mimic how neurons in the brain communicate through discrete spikes, which have great potential in various tasks due to their energy efficiency and temporal processing capabilities. SNNs with self-attention ...
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