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Found 2 papers, 1 papers with code
Fighting Quantization Bias With Bias
In this paper, we trace the source of the degradation in MobileNets to a shift in the mean activation value.
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization
Quantization of neural networks has become common practice, driven by the need for efficient implementations of deep neural networks on embedded devices.
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