spurious correlation

Where is the Truth? The Risk of Getting Confounded in a Continual World ICML 2025 ALVIN: Active Learning Via INterpolation EMNLP 2024 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models ICML 2024 Amortized Variational Deep Kernel Learning ICML 2024 A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective NeurIPS 2024 A Sober Look at the Robustness of CLIPs to Spurious Features NeurIPS 2024 ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations ACL 2024 Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations CVPR 2024 Causal ATTention Multiple Instance Learning for Whole Slide Image Classification ACML 2024 Causal Feature Alignment: Learning To Ignore Spurious Background Features WACV 2024 Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024 CausVSR: Causality Inspired Visual Sentiment Recognition IJCAI 2024 CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts NeurIPS 2024 Complexity Matters: Feature Learning in the Presence of Spurious Correlations ICML 2024 Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort ECCV 2024 Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline ICLR 2024 CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024 Debiasing Multimodal Sarcasm Detection with Contrastive Learning AAAI 2024 Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024 DeNetDM: Debiasing by Network Depth Modulation NeurIPS 2024 DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference ACL 2024 Distributionally Generative Augmentation for Fair Facial Attribute Classification CVPR 2024 Evaluating Model Bias Requires Characterizing its Mistakes ICML 2024 ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations CVPR 2024 Explore Spurious Correlations at the Concept Level in Language Models for Text Classification ACL 2024