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Geometric Mean Pooling for Equal-Weight Multiplicative Coarse-Graining

Wu, Ang-Kun et al.
arXiv (All) · Papers
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machine-learning
As an alternative to the additive and extremal biases of average and max pooling, we introduce Geometric Mean Pooling (GMP), a signed pooling operator that combines the product of feature signs with the geometric mean of feature magnitudes. Motivated by local-to-global composition in quantum many-bo
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