Xiwei Xuan*

SLIM: Spuriousness Mitigation with Minimal Human Annotations

"Recent studies highlight that deep learning models often learn spurious features mistakenly linked to labels, compromising their reliability in real-world scenarios where such correlations do not hold. Despite the increasing research effort, existing solutions often face two main challenges: they e…