2 papers
cs.AI2025
Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks
Tianqing Zhang, Zixin Zhu, Kairong Yu +1
Spiking Neural Networks (SNNs) have emerged as a promising approach for energy-efficient and biologically plausible computation. However, due to limitations in existing training me…
cs.CV2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
Kairong Yu, Chengting Yu, Tianqing Zhang +5
Spiking Neural Networks (SNNs), inspired by the human brain, offer significant computational efficiency through discrete spike-based information transfer. Despite their potential t…