| Modeling Implicit Bias with Fuzzy Cognitive Maps | Dec 23, 2021 | Fairness | CodeCode Available | 0 |
| Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective | Feb 2, 2025 | FairnessImage Segmentation | CodeCode Available | 0 |
| AIM: Attributing, Interpreting, Mitigating Data Unfairness | Jun 13, 2024 | Fairness | CodeCode Available | 0 |
| Distributional Off-Policy Evaluation for Slate Recommendations | Aug 27, 2023 | FairnessOff-policy evaluation | CodeCode Available | 0 |
| Adjusting for Bias with Procedural Data | Apr 3, 2022 | FairnessRepresentation Learning | CodeCode Available | 0 |
| TexShape: Information Theoretic Sentence Embedding for Language Models | Feb 5, 2024 | Data CompressionFairness | CodeCode Available | 0 |
| Toward Fair Federated Learning under Demographic Disparities and Data Imbalance | May 14, 2025 | FairnessFederated Learning | CodeCode Available | 0 |
| Towards Return Parity in Markov Decision Processes | Nov 19, 2021 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Self-Paced Deep Regression Forests with Consideration of Ranking Fairness | Dec 13, 2021 | Age EstimationFairness | CodeCode Available | 0 |
| Towards Reward Fairness in RLHF: From a Resource Allocation Perspective | May 29, 2025 | Fairnessreinforcement-learning | CodeCode Available | 0 |
