HTA-KL reweights forward and reverse KL losses using a cumulative-probability mask to align high- and low-probability regions during ANN-to-SNN knowledge distillation.
Spiking Neural Networks and Their Applications: A Review,
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Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks
HTA-KL reweights forward and reverse KL losses using a cumulative-probability mask to align high- and low-probability regions during ANN-to-SNN knowledge distillation.