| A novel approach for Fair Principal Component Analysis based on eigendecomposition | Aug 24, 2022 | Dimensionality ReductionFairness | CodeCode Available | 0 | 5 |
| BSL: Understanding and Improving Softmax Loss for Recommendation | Dec 20, 2023 | Fairness | CodeCode Available | 0 | 5 |
| Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification | Sep 30, 2024 | FairnessFew-Shot Learning | CodeCode Available | 0 | 5 |
| A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks | Oct 10, 2024 | FairnessImage Captioning | CodeCode Available | 0 | 5 |
| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Federated Learning Meets Fairness and Differential Privacy | Aug 23, 2021 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection | Nov 30, 2023 | Fairnessfeature selection | CodeCode Available | 0 | 5 |
| Certified Defense on the Fairness of Graph Neural Networks | Nov 5, 2023 | FairnessGraph Learning | CodeCode Available | 0 | 5 |
| Achieving Counterfactual Fairness with Imperfect Structural Causal Model | Mar 26, 2023 | counterfactualCounterfactual Inference | CodeCode Available | 0 | 5 |
| Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | Aug 22, 2019 | Data ValuationFairness | CodeCode Available | 0 | 5 |
