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cs.LG2024
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
Aozhong Zhang, Naigang Wang, Yanxia Deng +3
In this paper, we present a simple optimization-based preprocessing technique called Weight Magnitude Reduction (MagR) to improve the performance of post-training quantization. For…
cs.LG2024
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
Aozhong Zhang, Zi Yang, Naigang Wang +4
Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing t…