Injecting uniform noise before activation quantization in ANN training improves converted low-latency SNN accuracy without runtime noise correction.
Neuromorphic computing using non-volatile memory
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Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion
Injecting uniform noise before activation quantization in ANN training improves converted low-latency SNN accuracy without runtime noise correction.