| 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 |
| Grid-Aware On-Route Fast-Charging Infrastructure Planning for Battery Electric Bus with Equity Considerations: A Case Study in South King County | Sep 14, 2023 | Fairness | CodeCode Available | 0 |
| Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning | Jul 25, 2023 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Estimating and Improving Fairness with Adversarial Learning | Mar 7, 2021 | Deep LearningFairness | CodeCode Available | 0 |
| Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees | Apr 18, 2024 | FairnessLearning-To-Rank | CodeCode Available | 0 |
| Reducing Biases in Record Matching Through Scores Calibration | Nov 3, 2024 | Data IntegrationFairness | CodeCode Available | 0 |
| DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters | Sep 13, 2019 | Deep LearningFairness | CodeCode Available | 0 |
| Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy | Jun 10, 2023 | DiagnosticDomain Generalization | CodeCode Available | 0 |
| Group-blind optimal transport to group parity and its constrained variants | Oct 17, 2023 | AttributeFairness | CodeCode Available | 0 |
| Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity | Mar 14, 2022 | EthicsFairness | CodeCode Available | 0 |
| Addressing Both Statistical and Causal Gender Fairness in NLP Models | Mar 30, 2024 | counterfactualData Augmentation | CodeCode Available | 0 |
| Ethical Considerations for Responsible Data Curation | Feb 7, 2023 | DiversityFairness | CodeCode Available | 0 |
| Unbiased Collaborative Filtering with Fair Sampling | Feb 19, 2025 | Collaborative FilteringFairness | CodeCode Available | 0 |
| Group Equality in Adaptive Submodular Maximization | Jul 7, 2022 | Data SummarizationFairness | CodeCode Available | 0 |
| Group Fairness in Bandit Arm Selection | Dec 9, 2019 | Fairness | CodeCode Available | 0 |
| Faking Fairness via Stealthily Biased Sampling | Jan 24, 2019 | Fairness | CodeCode Available | 0 |
