| A Differentiable Distance Approximation for Fairer Image Classification | Oct 9, 2022 | ClassificationFairness | CodeCode Available | 0 |
| The Disparate Benefits of Deep Ensembles | Oct 17, 2024 | DiversityFairness | CodeCode Available | 0 |
| Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions | Jan 24, 2020 | Decision MakingFairness | CodeCode Available | 0 |
| Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks | Aug 23, 2024 | AttributeDisentanglement | CodeCode Available | 0 |
| Fair Attribute Completion on Graph with Missing Attributes | Feb 25, 2023 | AttributeFairness | CodeCode Available | 0 |
| Fair Augmentation for Graph Collaborative Filtering | Aug 22, 2024 | Collaborative FilteringFairness | CodeCode Available | 0 |
| Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation | Jun 15, 2021 | FairnessKnowledge Distillation | CodeCode Available | 0 |
| Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images | Dec 28, 2024 | Conformal PredictionFairness | CodeCode Available | 0 |
| FairBalance: How to Achieve Equalized Odds With Data Pre-processing | Jul 17, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions | May 30, 2024 | ChatbotFairness | CodeCode Available | 0 |
