Orthogonal Activation with Implicit Group-Aware Bias Learning for Class Imbalance

This article presents a research paper on a method to address class imbalance in machine learning. The core technique involves orthogonal activation and implicit group-aware bias learning. The focus is on improving model performance when dealing with datasets where some classes have significantly fewer examples than others.