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0111 · Feb 202419922001200920172026
1 result for Mixture-of-MLPs

Paper analyzes approximation and learning of MoEs with (P)ReLU activation.

problem Scaling up deep learning models with MoEs and (P)ReLU activation.
method Approximation and learning-theoretic analysis of MoMLPs with (P)ReLU.
result MoMLPs can uniformly approximate Lipschitz functions with ε\varepsilon accuracy using O(ε1)\mathcal{O}(\varepsilon^{-1}) parameters.