| Collaborative Fairness in Federated Learning | Aug 27, 2020 | Collaborative FairnessFairness | CodeCode Available | 1 | 5 |
| Deep Clustering based Fair Outlier Detection | Jun 9, 2021 | AttributeClustering | CodeCode Available | 1 | 5 |
| Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation | Mar 3, 2021 | FairnessHyperparameter Optimization | CodeCode Available | 1 | 5 |
| The Limits of Fair Medical Imaging AI In The Wild | Dec 11, 2023 | Fairness | CodeCode Available | 1 | 5 |
| Analyzing Fairness in Deepfake Detection With Massively Annotated Databases | Aug 11, 2022 | AttributeDecision Making | CodeCode Available | 1 | 5 |
| Delayed Impact of Fair Machine Learning | Mar 12, 2018 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
| Aequitas: A Bias and Fairness Audit Toolkit | Nov 14, 2018 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues | Oct 27, 2023 | Fairness | CodeCode Available | 1 | 5 |
| Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning | May 14, 2020 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
| FairBatch: Batch Selection for Model Fairness | Dec 3, 2020 | BIG-bench Machine LearningBilevel Optimization | CodeCode Available | 1 | 5 |
| Fair Mixup: Fairness via Interpolation | Mar 11, 2021 | Data AugmentationFairness | CodeCode Available | 1 | 5 |
| Deontological Ethics By Monotonicity Shape Constraints | Jan 31, 2020 | EthicsFairness | CodeCode Available | 1 | 5 |
| FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models | Apr 9, 2024 | FairnessGPU | CodeCode Available | 1 | 5 |
| Multi-Objective Population Based Training | Jun 2, 2023 | Adversarial RobustnessClassification | CodeCode Available | 1 | 5 |
| Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes | Oct 1, 2024 | AttributeCombinatorial Optimization | CodeCode Available | 1 | 5 |
| Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges | Feb 18, 2025 | ClusteringFairness | CodeCode Available | 0 | 5 |
| A Framework for Democratizing AI | Jan 1, 2020 | Fairness | CodeCode Available | 0 | 5 |
| Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters | Jan 29, 2024 | FairnessRetrieval | CodeCode Available | 0 | 5 |
| Towards Energy-Aware Federated Learning on Battery-Powered Clients | Aug 9, 2022 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning | Oct 2, 2024 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| Equalized odds postprocessing under imperfect group information | Jun 7, 2019 | AttributeFairness | CodeCode Available | 0 | 5 |
| DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy? | Jun 22, 2021 | Deep LearningFairness | CodeCode Available | 0 | 5 |
| Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness | May 21, 2020 | AttributeBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making | May 10, 2022 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| DPER: Dynamic Programming for Exist-Random Stochastic SAT | May 19, 2022 | Bayesian InferenceFairness | CodeCode Available | 0 | 5 |
