Abstract: Quantized neural networks (QNNs) have become a standard operation for efficiently deploying deep learning models on hardware platforms in real application scenarios. An empirical study on ...
Abstract: Quantization is a neural network compression technique that effectively improves the deployment performance on inference hardware. Fixed-point quantization methods use the same bit-width for ...
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