| Causally motivated Shortcut Removal Using Auxiliary Labels | May 13, 2021 | Causal InferenceDisentanglement | CodeCode Available | 0 |
| Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics | Dec 17, 2019 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Human-Guided Fair Classification for Natural Language Processing | Dec 20, 2022 | ClassificationFairness | CodeCode Available | 0 |
| Verifying Tree Ensembles by Reasoning about Potential Instances | Jan 31, 2020 | AttributeFairness | CodeCode Available | 0 |
| Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach | Jun 19, 2024 | Dynamic graph embeddingFairness | CodeCode Available | 0 |
| Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions | May 12, 2024 | Fairness | CodeCode Available | 0 |
| Expressive Monotonic Neural Networks | Jul 14, 2023 | FairnessInductive Bias | CodeCode Available | 0 |
| Automatic Feature Fairness in Recommendation via Adversaries | Sep 27, 2023 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness | Feb 21, 2025 | FairnessMulti-Armed Bandits | CodeCode Available | 0 |
| Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness | Oct 30, 2023 | counterfactualFairness | CodeCode Available | 0 |
