A shared global expert pool in MoE improves validation loss over per-layer experts and allows sublinear expert-parameter growth with depth.
Visual feature extraction by a multilayered network of analog threshold elements.IEEE Transactions on Systems Science and Cybernetics, 5(4):322–333, 2007
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UniPool: A Globally Shared Expert Pool for Mixture-of-Experts
A shared global expert pool in MoE improves validation loss over per-layer experts and allows sublinear expert-parameter growth with depth.