| Fair and Optimal Classification via Post-Processing | Nov 3, 2022 | AttributeClassification | CodeCode Available | 1 |
| Fair Attribute Classification through Latent Space De-biasing | Dec 2, 2020 | AttributeClassification | CodeCode Available | 1 |
| Bias Propagation in Federated Learning | Sep 5, 2023 | FairnessFederated Learning | CodeCode Available | 1 |
| BiasPruner: Debiased Continual Learning for Medical Image Classification | Jul 11, 2024 | ClassificationContinual Learning | CodeCode Available | 1 |
| FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation | Dec 29, 2024 | FairnessImage Generation | CodeCode Available | 1 |
| Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness | Feb 7, 2023 | FairnessImage Generation | CodeCode Available | 1 |
| Advanced Codebook Design for SCMA-aided NTNs With Randomly Distributed Users | Apr 7, 2025 | DiversityFairness | CodeCode Available | 1 |
| Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity | May 26, 2024 | DiversityFairness | CodeCode Available | 1 |
| FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback | Apr 25, 2022 | Exposure FairnessFairness | CodeCode Available | 1 |
| Can Active Learning Preemptively Mitigate Fairness Issues? | Apr 14, 2021 | Active LearningFairness | CodeCode Available | 1 |
