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Showing 1 to 1 of 1 for “"quantization error measurement (QEM)"”.

  1. Comparing the Performance of Small Word-Size Floating-Point Numerics to Fixed-Point Numerics in Neural Networks

    … it suffers from limited dynamic range and quantization inflexibility. This thesis introduces an alternative approach—Adaptive Precision Training (APT)—which leverages reduced-precision floating-point formats (FP8, FP12, FP16) for dynamic, layer-wise quantization during training. APT …

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