Zhuozhen Yu

Zero-shot Quantization for Large-kernels via Shape-based Distribution and Diversity Self-distillation

Zero-shot quantization (ZSQ) has emerged as an effective method to reduce model complexity and memory footprint without using original training data, thereby mitigating data privacy and security concerns during model deployment. Recently, Large-Kernel Convolutional Neural Networks (LKCNNs) have achi…