| Characterizing the risk of fairwashing | Jun 14, 2021 | Fairness | CodeCode Available | 0 |
| Mitigating Group Bias in Federated Learning: Beyond Local Fairness | May 17, 2023 | FairnessFederated Learning | CodeCode Available | 0 |
| DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models | Jun 8, 2023 | BenchmarkingFairness | CodeCode Available | 0 |
| Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer | Nov 17, 2017 | Decision MakingFairness | CodeCode Available | 0 |
| Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems | Jun 9, 2025 | FairnessImputation | CodeCode Available | 0 |
| Two-Sided Fairness in Non-Personalised Recommendations | Nov 10, 2020 | ArticlesFairness | CodeCode Available | 0 |
| Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks | Apr 9, 2022 | AttributeFairness | CodeCode Available | 0 |
| Preserving AUC Fairness in Learning with Noisy Protected Groups | May 24, 2025 | DeepFake DetectionFace Swapping | CodeCode Available | 0 |
| Are the confidence scores of reviewers consistent with the review content? Evidence from top conference proceedings in AI | May 21, 2025 | Deep LearningFairness | CodeCode Available | 0 |
| Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks | Oct 3, 2019 | Adversarial AttackDecision Making | CodeCode Available | 0 |
