Affine Divergence: Rethinking Activation Alignment in Neural Networks

This ArXiv paper explores a novel approach to aligning activation updates, potentially improving model performance. The research focuses on a concept called "Affine Divergence" to move beyond traditional normalization techniques.

• •Focuses on a new method of aligning activation updates.
• •Proposes a concept called "Affine Divergence."
• •Aims to move beyond normalization techniques.