arxivcs.CVcs.LG2026-07-01
Soft Mixture-of-Recursions: Going Deeper with Recursive Vision Transformers
Recent recursive Transformer studies have primarily reused shared parameters across computation steps to construct compact, parameter-efficient models. In this work, we leverage recursion to build effectively deeper Transformers with stronger representational capacity. However, i…