spurious correlation

Exploring and Mitigating Shortcut Learning for Generative Large Language Models COLING 2024 FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs ICLR 2024 From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space AAAI 2024 Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024 How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics EMNLP 2024 Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias AISTATS 2024 Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference ICML 2024 In Pursuit of Causal Label Correlations for Multi-label Image Recognition NeurIPS 2024 Label-Efficient Group Robustness via Out-of-Distribution Concept Curation CVPR 2024 Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. ACL 2024 Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation IJCAI 2024 Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals EMNLP 2024 MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation ICLR 2024 Mitigating Shortcuts in Language Models with Soft Label Encoding COLING 2024 Mitigating Spurious Correlations via Disagreement Probability NeurIPS 2024 Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference EMNLP 2024 Multi-Object Hallucination in Vision Language Models NeurIPS 2024 Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models EMNLP 2024 Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization NeurIPS 2024 On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective AISTATS 2024 PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning ACL 2024 Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models ICML 2024 RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models NeurIPS 2024 Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes EMNLP 2024 RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction UAI 2024