2021
Learnable Companding Quantization for Accurate Low-Bit Neural Networks
CVPR 2021poster
Quantizing deep neural networks is an effective method for reducing memory consumption and improving inference speed, and is thus useful for implementation in resource-constrained devices. However, it is still hard for extremely low-bit models to achieve accuracy comparable with that of full-precisi…