{"total":47,"rows":[{"id":"2204.02937","title":"Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations","created":"2022-04-06","cited_by_count":381,"area":null},{"id":"2102.11107","title":"Towards Causal Representation Learning","created":"2021-02-22","cited_by_count":209,"area":null},{"id":"2105.00097","title":"Self-supervised Augmentation Consistency for Adapting Semantic Segmentation","created":"2021-04-30","cited_by_count":149,"area":null},{"id":"2210.11369","title":"On Feature Learning in the Presence of Spurious Correlations","created":"2022-10-20","cited_by_count":145,"area":null},{"id":"2110.02210","title":"Mix3D: Out-of-Context Data Augmentation for 3D Scenes","created":"2021-10-05","cited_by_count":126,"area":null},{"id":"2108.10008","title":"BiaSwap: Removing dataset bias with bias-tailored swapping augmentation","created":"2021-08-23","cited_by_count":70,"area":null},{"id":"2112.01008","title":"Editing a classifier by rewriting its prediction rules","created":"2021-12-02","cited_by_count":65,"area":null},{"id":"2309.08534","title":"Towards Last-layer Retraining for Group Robustness with Fewer Annotations","created":"2023-09-15","cited_by_count":54,"area":null},{"id":"2207.09239","title":"Assaying Out-Of-Distribution Generalization in Transfer Learning","created":"2022-07-19","cited_by_count":53,"area":null},{"id":"2206.01161","title":"Optimizing Relevance Maps of Vision Transformers Improves Robustness","created":"2022-06-02","cited_by_count":41,"area":null},{"id":"2212.04871","title":"Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet","created":"2022-12-09","cited_by_count":41,"area":null},{"id":"2106.02112","title":"Finding and Fixing Spurious Patterns with Explanations","created":"2021-06-03","cited_by_count":38,"area":null},{"id":"2108.05449","title":"Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization","created":"2021-08-11","cited_by_count":32,"area":null},{"id":"2205.10435","title":"Towards Better Understanding Attribution Methods","created":"2022-05-20","cited_by_count":28,"area":null},{"id":"2301.07002","title":"Opti-CAM: Optimizing saliency maps for interpretability","created":"2023-01-17","cited_by_count":25,"area":null},{"id":"2209.07592","title":"Explicit Tradeoffs between Adversarial and Natural Distributional Robustness","created":"2022-09-15","cited_by_count":20,"area":null},{"id":"2108.00968","title":"Robust Semantic Segmentation with Superpixel-Mix","created":"2021-08-02","cited_by_count":19,"area":null},{"id":"2206.12073","title":"MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation","created":"2022-06-24","cited_by_count":15,"area":null},{"id":"2212.02648","title":"Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases","created":"2022-12-05","cited_by_count":13,"area":null},{"id":"2310.10591","title":"Interpreting and Controlling Vision Foundation Models via Text Explanations","created":"2023-10-16","cited_by_count":11,"area":null},{"id":"2311.17833","title":"DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations","created":"2023-11-29","cited_by_count":11,"area":null},{"id":"2405.20439","title":"Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning","created":"2024-05-30","cited_by_count":9,"area":null},{"id":"2112.07921","title":"Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks","created":"2021-12-15","cited_by_count":7,"area":null},{"id":"2408.12930","title":"Animal Identification with Independent Foreground and Background Modeling","created":"2024-08-23","cited_by_count":7,"area":null},{"id":"2310.00377","title":"Mitigating the Effect of Incidental Correlations on Part-based Learning","created":"2023-09-30","cited_by_count":6,"area":null},{"id":"2407.13957","title":"The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations","created":"2024-07-19","cited_by_count":6,"area":null},{"id":"2207.04104","title":"Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models","created":"2022-07-08","cited_by_count":5,"area":null},{"id":"2302.04246","title":"Shortcut Detection with Variational Autoencoders","created":"2023-02-08","cited_by_count":5,"area":null},{"id":"2403.04701","title":"ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes","created":"2024-03-07","cited_by_count":5,"area":null},{"id":"2103.13905","title":"StyleLess layer: Improving robustness for real-world driving","created":"2021-03-25","cited_by_count":4,"area":null},{"id":"2104.11691","title":"Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities","created":"2021-04-22","cited_by_count":4,"area":null},{"id":"2303.11884","title":"Better Understanding Differences in Attribution Methods via Systematic Evaluations","created":"2023-03-21","cited_by_count":4,"area":null},{"id":"2303.17595","title":"Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts","created":"2023-03-30","cited_by_count":4,"area":null},{"id":"2409.14637","title":"Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting","created":"2024-09-23","cited_by_count":3,"area":null},{"id":"2503.17717","title":"BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors","created":"2025-03-22","cited_by_count":3,"area":null},{"id":"2110.13223","title":"Identifying and Benchmarking Natural Out-of-Context Prediction Problems","created":"2021-10-25","cited_by_count":2,"area":null},{"id":"2305.14038","title":"Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map","created":"2023-05-23","cited_by_count":2,"area":null},{"id":"2310.04519","title":"SPADE: Sparsity-Guided Debugging for Deep Neural Networks","created":"2023-10-06","cited_by_count":2,"area":null},{"id":"2409.14679","title":"Quantifying Context Bias in Domain Adaptation for Object Detection","created":"2024-09-23","cited_by_count":2,"area":null},{"id":"2210.11590","title":"XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection","created":"2022-10-20","cited_by_count":1,"area":null},{"id":"2401.10790","title":"Measuring the Impact of Scene Level Objects on Object Detection: Towards Quantitative Explanations of Detection Decisions","created":"2024-01-19","cited_by_count":1,"area":null},{"id":"2510.00618","title":"Robust Context-Aware Object Recognition","created":"2025-10-01","cited_by_count":1,"area":null},{"id":"2305.00131","title":"Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints","created":"2023-04-29","cited_by_count":0,"area":null},{"id":"2411.15933","title":"Bringing the Context Back into Object Recognition, Robustly","created":"2024-11-24","cited_by_count":0,"area":null},{"id":"2604.13326","title":"Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2609.14654","title":"Evaluating Contextual Bias in CNN Image Classification: Evidence from Agricultural Benchmark Datasets","created":"2026-09-13","cited_by_count":0,"area":null},{"id":"2609.37331","title":"OFBD: Object-Focused Background Debiasing for Long-Tailed Learning","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}