| Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation | Oct 7, 2024 | FairnessModel Selection | CodeCode Available | 0 |
| Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation | Oct 7, 2024 | Fairness | —Unverified | 0 |
| GLEE: A Unified Framework and Benchmark for Language-based Economic Environments | Oct 7, 2024 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Social Choice for Heterogeneous Fairness in Recommendation | Oct 6, 2024 | FairnessRecommendation Systems | —Unverified | 0 |
| Collapsed Language Models Promote Fairness | Oct 6, 2024 | Data AugmentationFairness | CodeCode Available | 0 |
| Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks | Oct 5, 2024 | Fairness | —Unverified | 0 |
| Towards TMA-Based Transmissive RIS Transceiver Enabled Downlink Communication Networks: A Consensus-ADMM Approach | Oct 4, 2024 | Fairness | —Unverified | 0 |
| A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research | Oct 4, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| Group Fairness in Peer Review | Oct 4, 2024 | Fairness | —Unverified | 0 |
| Understanding Decision Subjects' Engagement with and Perceived Fairness of AI Models When Opportunities of Qualification Improvement Exist | Oct 4, 2024 | Fairness | —Unverified | 0 |
| Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport | Oct 3, 2024 | AttributeFairness | —Unverified | 0 |
| PFGuard: A Generative Framework with Privacy and Fairness Safeguards | Oct 3, 2024 | Ensemble LearningFairness | —Unverified | 0 |
| Minimax Group Fairness in Strategic Classification | Oct 3, 2024 | ClassificationFairness | —Unverified | 0 |
| Fair Decentralized Learning | Oct 3, 2024 | Fairness | CodeCode Available | 0 |
| Harm Ratio: A Novel and Versatile Fairness Criterion | Oct 3, 2024 | Decision MakingFairness | —Unverified | 0 |
| Achieving Fairness in Predictive Process Analytics via Adversarial Learning | Oct 3, 2024 | Fairness | —Unverified | 0 |
| Conformal Prediction Sets Can Cause Disparate Impact | Oct 2, 2024 | Conformal PredictionFairness | CodeCode Available | 0 |
| EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning | Oct 2, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness | Oct 2, 2024 | Fairness | —Unverified | 0 |
| Causal Inference Tools for a Better Evaluation of Machine Learning | Oct 2, 2024 | Causal InferenceEconometrics | —Unverified | 0 |
| ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups | Oct 2, 2024 | Data AugmentationFairness | —Unverified | 0 |
| Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation | Oct 2, 2024 | Fairness | —Unverified | 0 |
| Fair Class-Incremental Learning using Sample Weighting | Oct 2, 2024 | class-incremental learningClass Incremental Learning | —Unverified | 0 |
| Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications | Oct 2, 2024 | AutoMLEdge-computing | —Unverified | 0 |
| Explainable Multi-Stakeholder Job Recommender Systems | Oct 1, 2024 | FairnessRecommendation Systems | —Unverified | 0 |