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| Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks | Apr 8, 2023 | FairnessOpen-Ended Question Answering | CodeCode Available | 0 |
| Towards Fair In-Context Learning with Tabular Foundation Models | May 14, 2025 | FairnessIn-Context Learning | CodeCode Available | 0 |
| Disparate Vulnerability to Membership Inference Attacks | Jun 2, 2019 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Fair Densities via Boosting the Sufficient Statistics of Exponential Families | Dec 1, 2020 | Fairness | CodeCode Available | 0 |
| On the Fairness ROAD: Robust Optimization for Adversarial Debiasing | Oct 27, 2023 | AttributeFairness | CodeCode Available | 0 |
| Boosted CVaR Classification | Oct 26, 2021 | ClassificationDecision Making | CodeCode Available | 0 |
| Lazy Data Practices Harm Fairness Research | Apr 26, 2024 | Fairness | CodeCode Available | 0 |
| On Characterizing the Trade-off in Invariant Representation Learning | Sep 8, 2021 | AttributeDomain Adaptation | CodeCode Available | 0 |
| BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning | Aug 13, 2024 | DiagnosticFairness | CodeCode Available | 0 |
