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Mixture of Channel Experts: Static Sparse Supports with Input-Adaptive Mixing for Pointwise Projections

This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.23794v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) scales language models by routing each input through a small set of independently parameterized experts. We show that copying this design into convolutional networks fails for a structural reason: parallel convolutional expert…

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  1. 2026-08-26 04:00 · arXiv cs.LG
    Mixture of Channel Experts: Static Sparse Supports with Input-Adaptive Mixing for Pointwise Projections

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