A sharpness-aware, gradient-aligned search finds mixed-precision quantization policies on small proxy datasets that transfer to ImageNet with matching accuracy and faster convergence.
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Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning
A sharpness-aware, gradient-aligned search finds mixed-precision quantization policies on small proxy datasets that transfer to ImageNet with matching accuracy and faster convergence.