| TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property | Nov 13, 2024 | Decision MakingFairness | —Unverified | 0 |
| Optimisation Strategies for Ensuring Fairness in Machine Learning: With and Without Demographics | Nov 13, 2024 | Fairness | CodeCode Available | 0 |
| Properties of fairness measures in the context of varying class imbalance and protected group ratios | Nov 13, 2024 | Fairness | CodeCode Available | 0 |
| Fair Summarization: Bridging Quality and Diversity in Extractive Summaries | Nov 12, 2024 | DiversityDocument Summarization | CodeCode Available | 0 |
| Mitigating Bias in Queer Representation within Large Language Models: A Collaborative Agent Approach | Nov 12, 2024 | Bias DetectionFairness | CodeCode Available | 0 |
| Aligning Visual Contrastive learning models via Preference Optimization | Nov 12, 2024 | Contrastive LearningFairness | CodeCode Available | 0 |
| A Stochastic Optimization Framework for Private and Fair Learning From Decentralized Data | Nov 12, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| WassFFed: Wasserstein Fair Federated Learning | Nov 11, 2024 | FairnessFederated Learning | —Unverified | 0 |
| Neuro-Symbolic Rule Lists | Nov 10, 2024 | Combinatorial OptimizationFairness | —Unverified | 0 |
| A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning | Nov 10, 2024 | FairnessModel Selection | —Unverified | 0 |
| Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop | Nov 9, 2024 | DiversityFairness | —Unverified | 0 |
| Axiomatic characterizations of some simple risk-sharing rules | Nov 9, 2024 | Fairness | —Unverified | 0 |
| Interpret the Internal States of Recommendation Model with Sparse Autoencoder | Nov 9, 2024 | Explainable RecommendationFairness | CodeCode Available | 0 |
| Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach | Nov 8, 2024 | FairnessImputation | —Unverified | 0 |
| Fairness in Monotone k-submodular Maximization: Algorithms and Applications | Nov 8, 2024 | Fairness | —Unverified | 0 |
| Evaluating the Economic Implications of Using Machine Learning in Clinical Psychiatry | Nov 7, 2024 | EthicsFairness | —Unverified | 0 |
| The Multiple Dimensions of Spuriousness in Machine Learning | Nov 7, 2024 | Fairness | —Unverified | 0 |
| Comparing Fairness of Generative Mobility Models | Nov 7, 2024 | Fairness | —Unverified | 0 |
| ComFairGNN: Community Fair Graph Neural Network | Nov 7, 2024 | FairnessGraph Neural Network | —Unverified | 0 |
| Policy Aggregation | Nov 6, 2024 | Fairness | CodeCode Available | 0 |
| A Capabilities Approach to Studying Bias and Harm in Language Technologies | Nov 6, 2024 | Fairness | —Unverified | 0 |
| Fair Exploration and Exploitation | Nov 6, 2024 | Fairness | —Unverified | 0 |
| Cooperation and Personalization on a Seesaw: Choice-based FL for Safe Cooperation in Wireless Networks | Nov 6, 2024 | FairnessFederated Learning | —Unverified | 0 |
| Alpha and Prejudice: Improving α-sized Worst-case Fairness via Intrinsic Reweighting | Nov 5, 2024 | Fairness | —Unverified | 0 |
| EXAGREE: Towards Explanation Agreement in Explainable Machine Learning | Nov 4, 2024 | Fairness | —Unverified | 0 |
| A Directional Rockafellar-Uryasev Regression | Nov 4, 2024 | Fairnessregression | —Unverified | 0 |
| Fairness-Utilization Trade-off in Wireless Networks with Explainable Kolmogorov-Arnold Networks | Nov 4, 2024 | Dataset GenerationFairness | —Unverified | 0 |
| Towards Harmless Rawlsian Fairness Regardless of Demographic Prior | Nov 4, 2024 | Fairness | CodeCode Available | 0 |
| Fair and Welfare-Efficient Constrained Multi-matchings under Uncertainty | Nov 4, 2024 | FairnessStochastic Optimization | CodeCode Available | 0 |
| The Intersectionality Problem for Algorithmic Fairness | Nov 4, 2024 | Fairness | —Unverified | 0 |
| Fair In-Context Learning via Latent Concept Variables | Nov 4, 2024 | Data AugmentationFairness | CodeCode Available | 0 |
| Reducing Biases in Record Matching Through Scores Calibration | Nov 3, 2024 | Data IntegrationFairness | CodeCode Available | 0 |
| Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation | Nov 3, 2024 | FairnessForm | —Unverified | 0 |
| Federated Learning with Relative Fairness | Nov 2, 2024 | Computational EfficiencyFairness | —Unverified | 0 |
| FEED: Fairness-Enhanced Meta-Learning for Domain Generalization | Nov 2, 2024 | DisentanglementDomain Generalization | —Unverified | 0 |
| Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems | Nov 2, 2024 | ClusteringFairness | —Unverified | 0 |
| Benchmarking Bias in Large Language Models during Role-Playing | Nov 1, 2024 | BenchmarkingFairness | —Unverified | 0 |
| BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks | Nov 1, 2024 | FairnessFederated Learning | —Unverified | 0 |
| Identifying Implicit Social Biases in Vision-Language Models | Nov 1, 2024 | Fairness | —Unverified | 0 |
| AI-based traffic analysis in digital twin networks | Nov 1, 2024 | FairnessFederated Learning | —Unverified | 0 |
| Constrained Sampling with Primal-Dual Langevin Monte Carlo | Nov 1, 2024 | Bayesian Inferencecounterfactual | CodeCode Available | 0 |
| A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective | Nov 1, 2024 | Fairness | —Unverified | 0 |
| Monitoring fairness in machine learning models that predict patient mortality in the ICU | Oct 31, 2024 | Fairness | —Unverified | 0 |
| EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations | Oct 30, 2024 | Code GenerationFairness | —Unverified | 0 |
| FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training | Oct 30, 2024 | Adversarial RobustnessFairness | —Unverified | 0 |
| Proportional Fairness in Non-Centroid Clustering | Oct 30, 2024 | ClusteringFairness | —Unverified | 0 |
| Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakers | Oct 30, 2024 | Fairness | —Unverified | 0 |
| Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization | Oct 29, 2024 | FairnessFederated Learning | —Unverified | 0 |
| Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity | Oct 29, 2024 | Data AugmentationDiversity | —Unverified | 0 |
| Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin empowered LEO Satellite Networks | Oct 29, 2024 | FairnessMulti-agent Reinforcement Learning | —Unverified | 0 |