2025
Data-Free Post-Training Quantization with Block-wise Enhanced Sample Generation
ICASSP 2025accepted
Data-free quantization is known for quantizing a pre-trained deep neural network without access to any training data, which applies to many real-world scenarios in that the training data is unavailable due to security, user privacy, or proprietary concerns. Most of the existing data-free quantizatio…