{"total":37,"rows":[{"id":"2106.06333","title":"Invariant Information Bottleneck for Domain Generalization","created":"2021-06-11","cited_by_count":86,"area":null},{"id":"2303.05952","title":"Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning","created":"2023-03-10","cited_by_count":53,"area":null},{"id":"2102.11203","title":"A Theory of Label Propagation for Subpopulation Shift","created":"2021-02-22","cited_by_count":48,"area":null},{"id":"2310.19795","title":"SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization","created":"2023-10-30","cited_by_count":48,"area":null},{"id":"2206.07766","title":"Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization","created":"2022-06-15","cited_by_count":38,"area":null},{"id":"2406.03198","title":"The Impossibility of Fair LLMs","created":"2024-05-28","cited_by_count":22,"area":null},{"id":"2102.12013","title":"Understanding and Mitigating Accuracy Disparity in Regression","created":"2021-02-24","cited_by_count":17,"area":null},{"id":"2310.19691","title":"Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness","created":"2023-10-30","cited_by_count":17,"area":null},{"id":"2109.03386","title":"On Characterizing the Trade-off in Invariant Representation Learning","created":"2021-09-08","cited_by_count":12,"area":null},{"id":"2410.04120","title":"Rethinking Fair Representation Learning for Performance-Sensitive Tasks","created":"2024-10-05","cited_by_count":8,"area":null},{"id":"2307.04317","title":"Text Descriptions are Compressive and Invariant Representations for Visual Learning","created":"2023-07-10","cited_by_count":7,"area":null},{"id":"2305.01397","title":"Are demographically invariant models and representations in medical imaging fair?","created":"2023-05-02","cited_by_count":6,"area":null},{"id":"2503.20098","title":"Fundamental Limits of Perfect Concept Erasure","created":"2025-03-25","cited_by_count":6,"area":null},{"id":"2505.21422","title":"When Shift Happens - Confounding Is to Blame","created":"2025-05-27","cited_by_count":5,"area":null},{"id":"2204.11644","title":"Algorithms and Theory for Supervised Gradual Domain Adaptation","created":"2022-04-25","cited_by_count":4,"area":null},{"id":"2303.00333","title":"Competence-Based Analysis of Language Models","created":"2023-03-01","cited_by_count":4,"area":null},{"id":"2408.06638","title":"COD: Learning Conditional Invariant Representation for Domain Adaptation Regression","created":"2024-08-13","cited_by_count":4,"area":null},{"id":"2308.15856","title":"Domain Generalization without Excess Empirical Risk","created":"2023-08-30","cited_by_count":3,"area":null},{"id":"2412.05169","title":"Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization","created":"2024-12-06","cited_by_count":3,"area":null},{"id":"2406.16608","title":"When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights","created":"2024-06-24","cited_by_count":2,"area":null},{"id":"2601.12296","title":"Distribution Shift Is Key to Learning Invariant Prediction","created":"2026-01-18","cited_by_count":2,"area":null},{"id":"2407.11647","title":"Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation","created":"2024-07-16","cited_by_count":1,"area":null},{"id":"2506.20582","title":"Causal Representation Learning with Observational Grouping for CXR Classification","created":"2025-06-25","cited_by_count":1,"area":null},{"id":"2510.12476","title":"When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection","created":"2025-10-14","cited_by_count":1,"area":null},{"id":"2604.15856","title":"Robust Multispectral Semantic Segmentation under Missing or Full Modalities via Structured Latent Projection","created":"2026-04-17","cited_by_count":1,"area":null},{"id":"2207.12876","title":"Repeated Environment Inference for Invariant Learning","created":"2022-07-26","cited_by_count":0,"area":null},{"id":"2410.13045","title":"FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2501.02012","title":"Information Subtraction: Learning Representations for Conditional Entropy","created":"2025-01-02","cited_by_count":0,"area":null},{"id":"2503.17896","title":"Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation","created":"2025-03-23","cited_by_count":0,"area":null},{"id":"2504.02272","title":"Generative Classifier for Domain Generalization","created":"2025-04-03","cited_by_count":0,"area":null},{"id":"2504.09060","title":"Multimodal 3D Genome Pre-training","created":"2025-04-12","cited_by_count":0,"area":null},{"id":"2511.14920","title":"Structured Contrastive Learning for Interpretable Latent Representations","created":"2025-11-18","cited_by_count":0,"area":null},{"id":"2604.02564","title":"Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2606.13178","title":"Loss-Shift Transfer via Bayes Quotients","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2607.14705","title":"Grad2Fair: A Gradient-driven Approach for Graph Fairness without Demographics","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2608.25745","title":"Comparing Corrupted Constrained Learning Problems","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.32004","title":"Is invariance all you need for algorithmic fairness? Removing demographic information can create new bias","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}