Nayun Xu

Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations

We propose precision gating (PG), an end-to-end trainable dynamic dual-precision quantization technique for deep neural networks. PG computes most features in a low precision and only a small proportion of important features in a higher precision to preserve accuracy. The proposed approach is appl…