| Average Individual Fairness: Algorithms, Generalization and Experiments | May 25, 2019 | ClassificationFairness | CodeCode Available | 0 | 5 |
| A Variational Approach to Privacy and Fairness | Jun 11, 2020 | FairnessRepresentation Learning | CodeCode Available | 0 | 5 |
| Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization | Mar 1, 2025 | Dimensionality ReductionFairness | CodeCode Available | 0 | 5 |
| Certified Defense on the Fairness of Graph Neural Networks | Nov 5, 2023 | FairnessGraph Learning | CodeCode Available | 0 | 5 |
| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Empirical Risk Minimization under Fairness Constraints | Feb 23, 2018 | Fairness | CodeCode Available | 0 | 5 |
| Enhancing Robust Fairness via Confusional Spectral Regularization | Jan 22, 2025 | Fairness | CodeCode Available | 0 | 5 |
| B-AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Black-box Adversarial Visual-Instructions | Mar 14, 2024 | FairnessLanguage Modeling | CodeCode Available | 0 | 5 |
| Aligning (Medical) LLMs for (Counterfactual) Fairness | Aug 22, 2024 | counterfactualFairness | CodeCode Available | 0 | 5 |
| Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study | Nov 2, 2023 | Exposure FairnessFairness | CodeCode Available | 0 | 5 |
| Algorithms and Learning for Fair Portfolio Design | Jun 12, 2020 | Fairness | CodeCode Available | 0 | 5 |
| Avoiding Resentment Via Monotonic Fairness | Sep 3, 2019 | Fairness | CodeCode Available | 0 | 5 |
| Aligning Visual Contrastive learning models via Preference Optimization | Nov 12, 2024 | Contrastive LearningFairness | CodeCode Available | 0 | 5 |
| Endowing Pre-trained Graph Models with Provable Fairness | Feb 19, 2024 | AttributeFairness | CodeCode Available | 0 | 5 |
| Fairness Explainability using Optimal Transport with Applications in Image Classification | Aug 22, 2023 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement | Jun 3, 2024 | Anomaly DetectionDecision Making | CodeCode Available | 0 | 5 |
| Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs | Feb 21, 2025 | Fairness | CodeCode Available | 0 | 5 |
| Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions | May 12, 2024 | Fairness | CodeCode Available | 0 | 5 |
| Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss | May 13, 2021 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 | 5 |
| Efficient Algorithms For Fair Clustering with a New Fairness Notion | Sep 2, 2021 | AttributeClustering | CodeCode Available | 0 | 5 |
| All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation | Nov 9, 2023 | AllFairness | CodeCode Available | 0 | 5 |
| Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models | Apr 12, 2024 | FairnessTabular Data Generation | CodeCode Available | 0 | 5 |
| Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges | Feb 18, 2025 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters | Jan 29, 2024 | FairnessRetrieval | CodeCode Available | 0 | 5 |
| Automatic Feature Fairness in Recommendation via Adversaries | Sep 27, 2023 | FairnessRecommendation Systems | CodeCode Available | 0 | 5 |
