JMLR 2022
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
William Fedus, Barret Zoph, +1
How the Switch Transformer scales to trillions of parameters by routing each token to a single expert (top-1 gating), decoupling model capacity from per-token compute while managing expert load with a capacity factor.
- Mixture of Experts
- Transformers
- Sparse Models
- +2 more tags
