Imbalance T rouble: Revisiting Neural-Collapse Geometry Christos Thrampoulidis, Ganesh R. Kini

Neural Collapse refers to the remarkable structural properties characterizing the geometry of class embeddings and classifier weights, found by deep nets when trained beyond zero training error. However, this characterization only holds for balanced data.