most citedMobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2023★ 3 cited

Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts

Erik Daxberger, Floris Weers, Bowen Zhang +7

Sparse Mixture-of-Experts models (MoEs) have recently gained popularity due to their ability to decouple model size from inference efficiency by only activating a small subset of t…