{"total":29,"rows":[{"id":"2402.12715","title":"The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning","created":"2024-02-20","cited_by_count":41,"area":null},{"id":"2306.04949","title":"Robust Learning with Progressive Data Expansion Against Spurious Correlation","created":"2023-06-08","cited_by_count":39,"area":null},{"id":"2309.04344","title":"Zero-Shot Robustification of Zero-Shot Models","created":"2023-09-08","cited_by_count":24,"area":null},{"id":"2501.00961","title":"Uncovering Memorization Effect in the Presence of Spurious Correlations","created":"2025-01-01","cited_by_count":20,"area":null},{"id":"2406.03631","title":"Discovering Bias in Latent Space: An Unsupervised Debiasing Approach","created":"2024-06-05","cited_by_count":15,"area":null},{"id":"2502.17955","title":"Language Models' Factuality Depends on the Language of Inquiry","created":"2025-02-25","cited_by_count":14,"area":null},{"id":"2310.15105","title":"FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning","created":"2023-10-23","cited_by_count":12,"area":null},{"id":"2403.02695","title":"Controllable Prompt Tuning For Balancing Group Distributional Robustness","created":"2024-03-05","cited_by_count":10,"area":null},{"id":"2406.17433","title":"Mind the Graph When Balancing Data for Fairness or Robustness","created":"2024-06-25","cited_by_count":9,"area":null},{"id":"2503.09487","title":"Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness","created":"2025-03-12","cited_by_count":9,"area":null},{"id":"2407.08947","title":"Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort","created":"2024-07-12","cited_by_count":7,"area":null},{"id":"2401.06462","title":"AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding","created":"2024-01-12","cited_by_count":6,"area":null},{"id":"2409.02882","title":"Benchmarking Spurious Bias in Few-Shot Image Classifiers","created":"2024-09-04","cited_by_count":6,"area":null},{"id":"2409.03303","title":"Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization","created":"2024-09-05","cited_by_count":6,"area":null},{"id":"2308.10103","title":"ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations","created":"2023-08-19","cited_by_count":5,"area":null},{"id":"2407.05594","title":"SLIM: Spuriousness Mitigation with Minimal Human Annotations","created":"2024-07-08","cited_by_count":5,"area":null},{"id":"2506.11111","title":"Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions","created":"2025-06-08","cited_by_count":5,"area":null},{"id":"2306.11957","title":"Challenges and Opportunities in Improving Worst-Group Generalization in Presence of Spurious Features","created":"2023-06-21","cited_by_count":4,"area":null},{"id":"2503.13236","title":"Gradient Extrapolation for Debiased Representation Learning","created":"2025-03-17","cited_by_count":4,"area":null},{"id":"2505.17425","title":"Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2512.08606","title":"Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning","created":"2025-12-09","cited_by_count":4,"area":null},{"id":"2511.04401","title":"Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness","created":"2025-11-06","cited_by_count":2,"area":null},{"id":"2501.14182","title":"Single-weight Model Editing for Post-hoc Spurious Correlation Neutralization","created":"2025-01-24","cited_by_count":1,"area":null},{"id":"2602.02060","title":"FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2606.03148","title":"$A^2$: Smaller Self-Supervised ViTs Localize Better than Larger Ones","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2405.14030","title":"Refining Skewed Perceptions in Vision-Language Contrastive Models through Visual Representations","created":"2024-05-22","cited_by_count":0,"area":null},{"id":"2406.18901","title":"Autoencoder based approach for the mitigation of spurious correlations","created":"2024-06-27","cited_by_count":0,"area":null},{"id":"2608.05424","title":"Invisible Shortcuts: Why Vision Encoders Know Your Camera","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.24563","title":"X-MULTI: VLM-based Imaging Factor Disentanglement for Factor-Aware Image Synthesis","created":"2026-08-25","cited_by_count":0,"area":null}],"next_cursor":null}