Papers with routing fluctuation

    1 papers
    StableMoE: Stable Routing Strategy for Mixture of Experts (2022.acl-long)

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    Challenge: Existing learning-to-route methods suffer from the routing fluctuation issue . with the model scale growing, training speed will go slower and memory requirements are heavy .
    Approach: They propose a Mixture-of-Experts technique that can scale up the model size of Transformers with an affordable computational overhead.
    Outcome: The proposed method outperforms existing learning-to-route methods on language modeling and multilingual machine translation.

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