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Found 2 papers, 2 papers with code
EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise Optimization
In addition, we leverage the Hessian upper bound to improve the weight quantization parameters selection by focusing on the more sensitive elements in the weight tensors.
HPTQ: Hardware-Friendly Post Training Quantization
Neural network quantization enables the deployment of models on edge devices.
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