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cs.NE2024
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
Tong Bu, Maohua Li, Zhaofei Yu
Spiking Neural Networks (SNNs) have emerged as a promising substitute for Artificial Neural Networks (ANNs) due to their advantages of fast inference and low power consumption. How…
cs.NE2024★ 1 cited
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
Yujia Liu, Tong Bu, Jianhao Ding +3
Spiking Neural Networks (SNNs) have attracted great attention for their energy-efficient operations and biologically inspired structures, offering potential advantages over Artific…