| Analyzing the Effect of Sampling in GNNs on Individual Fairness | Sep 8, 2022 | FairnessGraph Neural Network | CodeCode Available | 0 |
| FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms | Nov 30, 2024 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity | Jan 31, 2023 | Fairness | CodeCode Available | 0 |
| A Fair Post-Processing Method based on the MADD Metric for Predictive Student Models | Jul 7, 2024 | Fairness | CodeCode Available | 0 |
| Loss-Aversively Fair Classification | May 10, 2021 | ClassificationDecision Making | CodeCode Available | 0 |
| FairSSD: Understanding Bias in Synthetic Speech Detectors | Apr 17, 2024 | Fairness | CodeCode Available | 0 |
| Loss Balancing for Fair Supervised Learning | Nov 7, 2023 | Face RecognitionFairness | CodeCode Available | 0 |
| Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations | Oct 20, 2022 | Explainable Artificial Intelligence (XAI)Explainable Models | CodeCode Available | 0 |
| Over-the-Air Fair Federated Learning via Multi-Objective Optimization | Jan 6, 2025 | FairnessFederated Learning | CodeCode Available | 0 |
| FairStream: Fair Multimedia Streaming Benchmark for Reinforcement Learning Agents | Oct 28, 2024 | Fairnessreinforcement-learning | CodeCode Available | 0 |
| Unfair Utilities and First Steps Towards Improving Them | Jun 1, 2023 | Fairness | CodeCode Available | 0 |
| Loss Tolerant Federated Learning | May 8, 2021 | FairnessFederated Learning | CodeCode Available | 0 |
| Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions | Nov 1, 2021 | Fairness | CodeCode Available | 0 |
| Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation | May 10, 2022 | AttributeBenchmarking | CodeCode Available | 0 |
| Fair Summarization: Bridging Quality and Diversity in Extractive Summaries | Nov 12, 2024 | DiversityDocument Summarization | CodeCode Available | 0 |
| Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes | Nov 10, 2023 | Fairness | CodeCode Available | 0 |
| FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval | Feb 16, 2024 | Distributed OptimizationFairness | CodeCode Available | 0 |
| Assessing Social and Intersectional Biases in Contextualized Word Representations | Nov 4, 2019 | FairnessSentence | CodeCode Available | 0 |
| Fair Resource Allocation in Federated Learning | May 25, 2019 | FairnessFederated Learning | CodeCode Available | 0 |
| Wasserstein Fair Classification | Jul 28, 2019 | ClassificationFairness | CodeCode Available | 0 |
| Fair Text Classification with Wasserstein Independence | Nov 21, 2023 | AttributeClassification | CodeCode Available | 0 |
| DPack: Efficiency-Oriented Privacy Budget Scheduling | Dec 26, 2022 | FairnessScheduling | CodeCode Available | 0 |
| LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops | Aug 11, 2023 | FairnessRecommendation Systems | CodeCode Available | 0 |
| FairTP: A Prolonged Fairness Framework for Traffic Prediction | Dec 18, 2024 | FairnessPrediction | CodeCode Available | 0 |
| LUCID: Exposing Algorithmic Bias through Inverse Design | Aug 26, 2022 | Decision MakingFairness | CodeCode Available | 0 |
