Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization
Published in IEEE International Conference on Data Mining (ICDM), 2022
We propose a new and effective data-free quantization method termed ClusterQ, which utilizes the semantic feature distribution alignment for synthetic data generation.