Soft Mixture-of-Recursions: Going Deeper with Recursive Vision Transformers

Sang In Lee, Jihun Park

Recent recursive Transformer studies have primarily reused shared parameters across computation steps to construct compact, parameter-efficient models. In this work, we leverage re…