The author explores the impact of spurious features on core feature learning dynamics in neural networks, revealing insights into the complexity and correlation strength. By analyzing theoretical frameworks and empirical findings, the study sheds light on the challenges and implications of spurious correlations in training neural networks.
Spurious features impact core feature learning dynamics in neural networks.