Fairness is Not Flat: Geometric Phase Transitions Against Shortcut Learning

Nicolas Rodriguez-Alvarez

Deep Neural Networks are highly susceptible to shortcut learning, frequently memorizing low-dimensional spurious correlations instead of underlying causal mechanisms. This phenomen…