2026
Causes and Consequences of Representational Similarity in Machine Learning Models
ICML 2026poster
Numerous works have noted similarities in how machine learning models represent the world, even across modalities. Although much effort has been devoted to uncovering properties and metrics on which these models align, surprisingly little work has explored causes of this similarity. To advance this …