On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization

Zakhar Shumaylov, Vasileios Tsiaras, Yannis Stylianou

The ever-increasing parameter counts of deep learning models necessitate effective compression techniques for deployment on resource-constrained devices. This paper explores the ap…