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Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
An expanded version of our network challenges the performance of the spiking VGG-16 network with a 71. 64% top-1 accuracy, all while operating with a model capacity 2. 1 times smaller.
Auto-Spikformer: Spikformer Architecture Search
The integration of self-attention mechanisms into Spiking Neural Networks (SNNs) has garnered considerable interest in the realm of advanced deep learning, primarily due to their biological properties.
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