A general routing framework lets each token take its own path through a network, matching dense baselines while enabling learned compute savings and interpretable path specialization.
This may be because we are not considering a setting with high sparsity
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Towards Distributed Neural Architectures
A general routing framework lets each token take its own path through a network, matching dense baselines while enabling learned compute savings and interpretable path specialization.