| BAD: BiAs Detection for Large Language Models in the context of candidate screening | May 17, 2023 | Bias DetectionFairness | CodeCode Available | 1 |
| Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training | Jan 1, 2023 | Fairness | CodeCode Available | 1 |
| FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis | Oct 8, 2023 | FairnessMedical Diagnosis | CodeCode Available | 1 |
| Fair yet Asymptotically Equal Collaborative Learning | Jun 9, 2023 | FairnessIncremental Learning | CodeCode Available | 1 |
| Achieving Fairness at No Utility Cost via Data Reweighing with Influence | Feb 1, 2022 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency | Sep 11, 2019 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark | Nov 12, 2023 | FairnessFederated Learning | CodeCode Available | 1 |
| Federated Learning with Fair Averaging | Apr 30, 2021 | FairnessFederated Learning | CodeCode Available | 1 |
| Federated Learning Meets Multi-objective Optimization | Jun 20, 2020 | FairnessFederated Learning | CodeCode Available | 1 |
| FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems | May 31, 2022 | BIG-bench Machine LearningCPU | CodeCode Available | 1 |
| FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods | Jun 15, 2023 | BenchmarkingFairness | CodeCode Available | 1 |
| Finetuning Text-to-Image Diffusion Models for Fairness | Nov 11, 2023 | Fairness | CodeCode Available | 1 |
| CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection | Mar 2, 2025 | FairnessGraph Attention | CodeCode Available | 1 |
| FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models | Apr 9, 2024 | FairnessGPU | CodeCode Available | 1 |
| Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative | Oct 7, 2022 | Contrastive LearningFairness | CodeCode Available | 1 |
| From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching | Apr 27, 2024 | FairnessFederated Learning | CodeCode Available | 1 |
| A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control | Mar 30, 2025 | FairnessMulti-agent Reinforcement Learning | CodeCode Available | 1 |
| Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations | Jan 21, 2025 | counterfactualFairness | CodeCode Available | 1 |
| AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models | Jan 7, 2022 | Fairness | CodeCode Available | 1 |
| Global Counterfactual Explanations: Investigations, Implementations and Improvements | Apr 14, 2022 | counterfactualCounterfactual Explanation | CodeCode Available | 1 |
| Attack of the Tails: Yes, You Really Can Backdoor Federated Learning | Jul 9, 2020 | FairnessFederated Learning | CodeCode Available | 1 |
| A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges | Oct 21, 2022 | BenchmarkingCommunity Detection | CodeCode Available | 1 |
| Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark | Mar 9, 2024 | BenchmarkingFairness | CodeCode Available | 1 |
| Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization | Jun 15, 2023 | FairnessFeature Importance | CodeCode Available | 1 |
| AutoBalance: Optimized Loss Functions for Imbalanced Data | Jan 4, 2022 | Data AugmentationFairness | CodeCode Available | 1 |
