2024
Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration
ICML 2024poster
Nowadays Spiking Transformers have exhibited remarkable performance close to Artificial Neural Networks (ANNs), while enjoying the inherent energy-efficiency of Spiking Neural Networks (SNNs). However, training Spiking Transformers on GPUs is considerably more time-consuming compared to the ANN coun…