Neural inhibition gating on MoE router inputs improves a synthetic digit/squares benchmark by about four points over plain MoE, but the language-model evidence is unreliable.
Adaptive dropout for training deep neural networks
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Neural Inhibition Improves Dynamic Routing and Mixture of Experts
Neural inhibition gating on MoE router inputs improves a synthetic digit/squares benchmark by about four points over plain MoE, but the language-model evidence is unreliable.