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Contrastive Attention Mitigates Spectral Bias in Spiking Transformers.

arXiv:2610.01403v1 Announce Type: new Abstract: Spiking Transformers merge the energy-efficiency of spiking neural networks (SNNs) with the representational power of self-attention, creating a promising architecture for high-performance, energy-efficient compu

arXiv cs.AIResearch source·