DiffQuant: Reducing Compression Difference for Neural Network Quantization

Deep neural network quantization is a widely used method in the deployment of mobile or edge devices to effectively reduce memory overhead and speed up inference. However, quantization inevitably leads to a reduction in the performance and equivalence of models. Moreover, access to labeled datasets ... View More