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Found 2 papers, 1 papers with code
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization
Robust quantization improves the tolerance of networks for various implementations, allowing reliable output in different bit-widths or fragmented low-precision arithmetic.
NIPQ: Noise proxy-based Integrated Pseudo-Quantization
Recently, pseudoquantization training has been proposed as an alternative approach to updating the learnable parameters using the pseudo-quantization noise instead of STE.
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