{"total":43,"rows":[{"id":"2107.01372","title":"Learning Debiased Representation via Disentangled Feature Augmentation","created":"2021-07-03","cited_by_count":116,"area":null},{"id":"2106.11230","title":"Can contrastive learning avoid shortcut solutions?","created":"2021-06-21","cited_by_count":114,"area":null},{"id":"2110.07736","title":"Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models","created":"2021-10-14","cited_by_count":76,"area":null},{"id":"2310.16228","title":"On the Foundations of Shortcut Learning","created":"2023-10-24","cited_by_count":65,"area":null},{"id":"2207.10384","title":"Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing","created":"2022-07-21","cited_by_count":52,"area":null},{"id":"2311.08648","title":"Explore Spurious Correlations at the Concept Level in Language Models for Text Classification","created":"2023-11-15","cited_by_count":48,"area":null},{"id":"2201.02263","title":"ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks","created":"2022-01-06","cited_by_count":39,"area":null},{"id":"2107.05276","title":"Geographical Knowledge-driven Representation Learning for Remote Sensing Images","created":"2021-07-12","cited_by_count":37,"area":null},{"id":"2108.00049","title":"Object-aware Contrastive Learning for Debiased Scene Representation","created":"2021-07-30","cited_by_count":35,"area":null},{"id":"2212.01433","title":"Avoiding spurious correlations via logit correction","created":"2022-12-02","cited_by_count":32,"area":null},{"id":"2212.07101","title":"Domain Generalization by Learning and Removing Domain-specific Features","created":"2022-12-14","cited_by_count":28,"area":null},{"id":"2307.09829","title":"What do neural networks learn in image classification? A frequency shortcut perspective","created":"2023-07-19","cited_by_count":28,"area":null},{"id":"2206.02353","title":"Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data","created":"2022-06-06","cited_by_count":27,"area":null},{"id":"2310.18555","title":"Group Robust Classification Without Any Group Information","created":"2023-10-28","cited_by_count":25,"area":null},{"id":"2305.06024","title":"A Survey on the Robustness of Computer Vision Models against Common Corruptions","created":"2023-05-10","cited_by_count":21,"area":null},{"id":"2205.12466","title":"Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning","created":"2022-05-25","cited_by_count":20,"area":null},{"id":"2107.09539","title":"Parametric Scattering Networks","created":"2021-07-20","cited_by_count":16,"area":null},{"id":"2210.04497","title":"Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation","created":"2022-10-10","cited_by_count":13,"area":null},{"id":"2307.11404","title":"Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition","created":"2023-07-21","cited_by_count":13,"area":null},{"id":"2108.05779","title":"DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities","created":"2021-08-12","cited_by_count":10,"area":null},{"id":"2303.01806","title":"When does Privileged Information Explain Away Label Noise?","created":"2023-03-03","cited_by_count":10,"area":null},{"id":"2212.08378","title":"Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning","created":"2022-12-16","cited_by_count":9,"area":null},{"id":"2102.06406","title":"A Too-Good-to-be-True Prior to Reduce Shortcut Reliance","created":"2021-02-12","cited_by_count":7,"area":null},{"id":"2303.04696","title":"VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology","created":"2023-03-08","cited_by_count":6,"area":null},{"id":"2503.03519","title":"Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization","created":"2025-03-05","cited_by_count":5,"area":null},{"id":"2308.06622","title":"DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning","created":"2023-08-12","cited_by_count":4,"area":null},{"id":"2311.16176","title":"Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles","created":"2023-11-23","cited_by_count":4,"area":null},{"id":"2203.04289","title":"Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data","created":"2022-03-07","cited_by_count":3,"area":null},{"id":"2212.09281","title":"Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling","created":"2022-12-19","cited_by_count":3,"area":null},{"id":"2203.15347","title":"Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis","created":"2022-03-29","cited_by_count":2,"area":null},{"id":"2308.08482","title":"Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features","created":"2023-08-13","cited_by_count":2,"area":null},{"id":"2106.08486","title":"Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning","created":"2021-06-15","cited_by_count":1,"area":null},{"id":"2209.07699","title":"Graph Contrastive Learning with Cross-view Reconstruction","created":"2022-09-16","cited_by_count":1,"area":null},{"id":"2211.15510","title":"Localized Shortcut Removal","created":"2022-11-24","cited_by_count":1,"area":null},{"id":"2404.09752","title":"Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?","created":"2024-04-15","cited_by_count":1,"area":null},{"id":"2410.11065","title":"Time Series Viewmakers for Robust Disruption Prediction","created":"2024-10-14","cited_by_count":1,"area":null},{"id":"2511.13469","title":"GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction","created":"2025-11-17","cited_by_count":1,"area":null},{"id":"2307.02516","title":"Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency","created":"2023-07-05","cited_by_count":0,"area":null},{"id":"2309.05287","title":"Addressing Feature Imbalance in Sound Source Separation","created":"2023-09-11","cited_by_count":0,"area":null},{"id":"2310.19381","title":"Protecting Publicly Available Data With Machine Learning Shortcuts","created":"2023-10-30","cited_by_count":0,"area":null},{"id":"2403.14140","title":"Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks","created":"2024-03-21","cited_by_count":0,"area":null},{"id":"2606.03493","title":"Low-Frequency Shortcuts in Texture-Driven Visual Learning","created":"2026-06-02","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}