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| Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation | Sep 17, 2024 | FairnessRecommendation Systems | —Unverified | 0 |
| CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning | May 28, 2025 | FairnessFederated Learning | —Unverified | 0 |
| Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models | Jun 8, 2022 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
| CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement | Mar 11, 2025 | DisentanglementFairness | —Unverified | 0 |
| An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline | Apr 1, 2021 | DiversityFairness | —Unverified | 0 |
| Characterising Bias in Compressed Models | Oct 6, 2020 | FairnessQuantization | —Unverified | 0 |
| Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings | Oct 13, 2020 | FairnessMortality Prediction | —Unverified | 0 |
| BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks | Nov 1, 2024 | FairnessFederated Learning | —Unverified | 0 |
