Co-occurring keywords
Papers
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations
ACL 2024
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing
NIPS 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
NIPS 2024
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
AAAI 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
CVPR 2024
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations
CVPR 2024
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis
EACL 2024