{"total":181,"rows":[{"id":"2108.13624","title":"Towards Out-Of-Distribution Generalization: A Survey","created":"2021-08-31","cited_by_count":436,"area":null},{"id":"2304.03738","title":"Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models","created":"2023-04-07","cited_by_count":148,"area":null},{"id":"2207.07068","title":"Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey","created":"2022-07-14","cited_by_count":125,"area":null},{"id":"2106.00467","title":"A Clarification of the Nuances in the Fairness Metrics Landscape","created":"2021-06-01","cited_by_count":98,"area":null},{"id":"2107.06641","title":"Trustworthy AI: A Computational Perspective","created":"2021-07-12","cited_by_count":93,"area":null},{"id":"2310.12560","title":"Fast Model Debias with Machine Unlearning","created":"2023-10-19","cited_by_count":72,"area":"safety"},{"id":"2104.14210","title":"FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning","created":"2021-04-29","cited_by_count":68,"area":null},{"id":"2201.03662","title":"Learning Fair Node Representations with Graph Counterfactual Fairness","created":"2022-01-10","cited_by_count":58,"area":null},{"id":"2103.11972","title":"Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals","created":"2021-03-22","cited_by_count":55,"area":null},{"id":"2312.01261","title":"TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models","created":"2023-12-03","cited_by_count":52,"area":null},{"id":"2306.05415","title":"Causal normalizing flows: from theory to practice","created":"2023-06-08","cited_by_count":51,"area":"lr"},{"id":"2202.01034","title":"Diagnosing failures of fairness transfer across distribution shift in real-world medical settings","created":"2022-02-02","cited_by_count":45,"area":null},{"id":"2207.05302","title":"Causal Conceptions of Fairness and their Consequences","created":"2022-07-12","cited_by_count":38,"area":null},{"id":"2112.09745","title":"Interpretable Data-Based Explanations for Fairness Debugging","created":"2021-12-17","cited_by_count":30,"area":null},{"id":"2201.13169","title":"Causal Explanations and XAI","created":"2022-01-31","cited_by_count":30,"area":null},{"id":"2204.12993","title":"Counterfactual harm","created":"2022-04-27","cited_by_count":29,"area":null},{"id":"2108.13025","title":"Transport-based Counterfactual Models","created":"2021-08-30","cited_by_count":27,"area":null},{"id":"2205.13619","title":"Fairness in Recommendation: Foundations, Methods and Applications","created":"2022-05-26","cited_by_count":27,"area":null},{"id":"2204.02947","title":"Marrying Fairness and Explainability in Supervised Learning","created":"2022-04-06","cited_by_count":23,"area":null},{"id":"2212.03840","title":"Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations","created":"2022-12-07","cited_by_count":22,"area":null},{"id":"2403.08743","title":"Prompting Fairness: Integrating Causality to Debias Large Language Models","created":"2024-03-13","cited_by_count":21,"area":null},{"id":"2202.02943","title":"Learning fair representation with a parametric integral probability metric","created":"2022-02-07","cited_by_count":20,"area":null},{"id":"2205.13972","title":"Counterfactual Fairness with Partially Known Causal Graph","created":"2022-05-27","cited_by_count":20,"area":null},{"id":"2404.03086","title":"Auditing the Use of Language Models to Guide Hiring Decisions","created":"2024-04-03","cited_by_count":20,"area":null},{"id":"2106.05127","title":"Deep Clustering based Fair Outlier Detection","created":"2021-06-09","cited_by_count":19,"area":null},{"id":"2110.14690","title":"VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries","created":"2021-10-27","cited_by_count":19,"area":null},{"id":"2206.04101","title":"What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective","created":"2022-06-08","cited_by_count":18,"area":null},{"id":"2208.05126","title":"D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias","created":"2022-08-10","cited_by_count":18,"area":null},{"id":"2108.05335","title":"Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition","created":"2021-08-11","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":"2104.02768","title":"Robust Semantic Interpretability: Revisiting Concept Activation Vectors","created":"2021-04-06","cited_by_count":16,"area":null},{"id":"2112.15324","title":"Deconfounded Visual Grounding","created":"2021-12-31","cited_by_count":16,"area":null},{"id":"2202.13774","title":"Selection, Ignorability and Challenges With Causal Fairness","created":"2022-02-28","cited_by_count":16,"area":null},{"id":"2206.06685","title":"Causal Discovery for Fairness","created":"2022-06-14","cited_by_count":16,"area":null},{"id":"2310.13007","title":"A Critical Survey on Fairness Benefits of Explainable AI","created":"2023-10-15","cited_by_count":16,"area":null},{"id":"2109.10458","title":"Achieving Counterfactual Fairness for Causal Bandit","created":"2021-09-21","cited_by_count":15,"area":null},{"id":"2205.10200","title":"The Fairness of Credit Scoring Models","created":"2022-05-20","cited_by_count":15,"area":null},{"id":"2208.03843","title":"Counterfactual Fairness Is Basically Demographic Parity","created":"2022-08-07","cited_by_count":15,"area":null},{"id":"2302.06975","title":"A Review of the Role of Causality in Developing Trustworthy AI Systems","created":"2023-02-14","cited_by_count":14,"area":null},{"id":"2305.13938","title":"Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree","created":"2023-05-05","cited_by_count":14,"area":null},{"id":"2101.07361","title":"Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification","created":"2021-01-18","cited_by_count":13,"area":null},{"id":"2403.17333","title":"The Pursuit of Fairness in Artificial Intelligence Models: A Survey","created":"2024-03-26","cited_by_count":13,"area":null},{"id":"2407.13710","title":"OxonFair: A Flexible Toolkit for Algorithmic Fairness","created":"2024-06-30","cited_by_count":12,"area":null},{"id":"2307.16526","title":"No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging","created":"2023-07-31","cited_by_count":11,"area":null},{"id":"2407.11624","title":"Rethinking Fair Graph Neural Networks from Re-balancing","created":"2024-07-16","cited_by_count":11,"area":null},{"id":"2503.07938","title":"CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement","created":"2025-03-11","cited_by_count":11,"area":null},{"id":"2202.10816","title":"Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness","created":"2022-02-22","cited_by_count":10,"area":null},{"id":"2202.11853","title":"Attainability and Optimality: The Equalized Odds Fairness Revisited","created":"2022-02-24","cited_by_count":10,"area":null},{"id":"2207.09768","title":"Learning Counterfactually Invariant Predictors","created":"2022-07-20","cited_by_count":10,"area":null},{"id":"2209.09423","title":"Fairness and robustness in anti-causal prediction","created":"2022-09-20","cited_by_count":10,"area":null},{"id":"2311.18460","title":"Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework","created":"2023-11-30","cited_by_count":10,"area":null},{"id":"2405.15443","title":"Fairness-Accuracy Trade-Offs: A Causal Perspective","created":"2024-05-24","cited_by_count":10,"area":null},{"id":"2311.05420","title":"Counterfactually Fair Representation","created":"2023-11-09","cited_by_count":9,"area":null},{"id":"2311.12447","title":"Designing Long-term Group Fair Policies in Dynamical Systems","created":"2023-11-21","cited_by_count":9,"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":"2506.07049","title":"FairPFN: A Tabular Foundation Model for Causal Fairness","created":"2025-06-08","cited_by_count":9,"area":null},{"id":"2102.02137","title":"BeFair: Addressing Fairness in the Banking Sector","created":"2021-02-03","cited_by_count":8,"area":null},{"id":"2302.11944","title":"Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference","created":"2023-02-23","cited_by_count":8,"area":null},{"id":"2306.05066","title":"Causal Fairness for Outcome Control","created":"2023-06-08","cited_by_count":8,"area":null},{"id":"2409.01977","title":"Counterfactual Fairness by Combining Factual and Counterfactual Predictions","created":"2024-09-03","cited_by_count":8,"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":"2110.14755","title":"Algorithmic encoding of protected characteristics in image-based models for disease detection","created":"2021-10-27","cited_by_count":7,"area":null},{"id":"2208.09147","title":"Disentangled Representation with Causal Constraints for Counterfactual Fairness","created":"2022-08-19","cited_by_count":7,"area":null},{"id":"2301.08987","title":"Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors","created":"2023-01-21","cited_by_count":7,"area":null},{"id":"2306.05059","title":"Reconciling Predictive and Statistical Parity: A Causal Approach","created":"2023-06-08","cited_by_count":7,"area":null},{"id":"2405.03329","title":"Policy Learning for Balancing Short-Term and Long-Term Rewards","created":"2024-05-06","cited_by_count":7,"area":null},{"id":"2411.02414","title":"Fairness Evaluation with Item Response Theory","created":"2024-10-20","cited_by_count":7,"area":null},{"id":"2205.09622","title":"What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds","created":"2022-05-19","cited_by_count":6,"area":null},{"id":"2211.16499","title":"Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing","created":"2022-11-29","cited_by_count":6,"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":"2308.02081","title":"Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare","created":"2023-08-03","cited_by_count":6,"area":null},{"id":"2401.10632","title":"Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach","created":"2024-01-19","cited_by_count":6,"area":null},{"id":"2401.14539","title":"Understanding Disparities in Post Hoc Machine Learning Explanation","created":"2024-01-25","cited_by_count":6,"area":null},{"id":"2107.00593","title":"Disaggregated Interventions to Reduce Inequality","created":"2021-07-01","cited_by_count":5,"area":null},{"id":"2207.12497","title":"Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors","created":"2022-07-25","cited_by_count":5,"area":null},{"id":"2404.14050","title":"Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms","created":"2024-04-22","cited_by_count":5,"area":null},{"id":"2406.09307","title":"What is Fair? Defining Fairness in Machine Learning for Health","created":"2024-06-13","cited_by_count":5,"area":null},{"id":"2501.14710","title":"Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective","created":"2025-01-24","cited_by_count":5,"area":null},{"id":"2102.03977","title":"Learning to Generate Fair Clusters from Demonstrations","created":"2021-02-08","cited_by_count":4,"area":null},{"id":"2103.03938","title":"Causal Analysis of Agent Behavior for AI Safety","created":"2021-03-05","cited_by_count":4,"area":null},{"id":"2201.10683","title":"Promises and Challenges of Causality for Ethical Machine Learning","created":"2022-01-26","cited_by_count":4,"area":null},{"id":"2202.04245","title":"Regulatory Instruments for Fair Personalized Pricing","created":"2022-02-09","cited_by_count":4,"area":null},{"id":"2206.02786","title":"(Im)possibility of Collective Intelligence","created":"2022-06-05","cited_by_count":4,"area":null},{"id":"2206.03256","title":"Flexible Group Fairness Metrics for Survival Analysis","created":"2022-05-26","cited_by_count":4,"area":null},{"id":"2209.05274","title":"Fairness in Forecasting of Observations of Linear Dynamical Systems","created":"2022-09-12","cited_by_count":4,"area":null},{"id":"2307.12797","title":"Causal Fair Machine Learning via Rank-Preserving Interventional Distributions","created":"2023-07-24","cited_by_count":4,"area":null},{"id":"2310.11407","title":"Group-blind optimal transport to group parity and its constrained variants","created":"2023-10-17","cited_by_count":4,"area":null},{"id":"2310.17687","title":"Consistent End-to-End Estimation for Counterfactual Fairness","created":"2023-10-26","cited_by_count":4,"area":null},{"id":"2312.12477","title":"When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook","created":"2023-12-19","cited_by_count":4,"area":null},{"id":"2402.02663","title":"Counterfactual Fairness Is Not Demographic Parity, and Other Observations","created":"2024-02-05","cited_by_count":4,"area":null},{"id":"2406.13966","title":"Causal Inference with Latent Variables: Recent Advances and Future Prospectives","created":"2024-06-20","cited_by_count":4,"area":null},{"id":"2410.12539","title":"Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making","created":"2024-10-16","cited_by_count":4,"area":"agents"},{"id":"2411.08019","title":"Language Models as Causal Effect Generators","created":"2024-11-12","cited_by_count":4,"area":null},{"id":"2504.21117","title":"Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts","created":"2025-04-29","cited_by_count":4,"area":null},{"id":"2106.08161","title":"Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness","created":"2021-06-15","cited_by_count":3,"area":null},{"id":"2110.08944","title":"Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair","created":"2021-10-17","cited_by_count":3,"area":null},{"id":"2201.05216","title":"The Fairness Field Guide: Perspectives from Social and Formal Sciences","created":"2022-01-13","cited_by_count":3,"area":null},{"id":"2209.01410","title":"Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions","created":"2022-09-03","cited_by_count":3,"area":null},{"id":"2303.04209","title":"Causal Dependence Plots","created":"2023-03-07","cited_by_count":3,"area":null},{"id":"2306.14672","title":"PWSHAP: A Path-Wise Explanation Model for Targeted Variables","created":"2023-06-26","cited_by_count":3,"area":null}],"next_cursor":"100"}