2025
Severing Spurious Correlations with Data Pruning
ICLR 2025spotlight
Deep neural networks have been shown to learn and rely on spurious correlations present in the data that they are trained on. Reliance on such correlations can cause these networks to malfunction when deployed in the real world, where these correlations may no longer hold. To overcome the learning o…