论文09:58
Event-triggered Implicit Perturbation for Zeroth-Order Fine-Tuning of Spiking TransformersThis paper introduces a novel approach for fine-tuning spiking neural networks with reduced energy consumption and improved accuracy, offering a significant advancement in the field of event-driven computing.