| A Novel Approach to Fairness in Automated Decision-Making using Affective Normalization | May 2, 2022 | Decision MakingFairness | —Unverified | 0 | 0 |
| Adversarial Stacked Auto-Encoders for Fair Representation Learning | Jul 27, 2021 | FairnessRepresentation Learning | —Unverified | 0 | 0 |
| A Complete Criterion for Value of Information in Soluble Influence Diagrams | Feb 23, 2022 | Fairness | —Unverified | 0 | 0 |
| Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit | May 22, 2023 | Fairness | —Unverified | 0 | 0 |
| Fair Decision-Making for Food Inspections | Aug 12, 2021 | Decision MakingFairness | —Unverified | 0 | 0 |
| Fair Decision-making Under Uncertainty | Jan 29, 2023 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 | 0 |
| Fair Decision Rules for Binary Classification | Jul 3, 2021 | Binary ClassificationClassification | —Unverified | 0 | 0 |
| FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication | Apr 24, 2024 | Fairness | —Unverified | 0 | 0 |
| Evaluating the Fairness of Neural Collapse in Medical Image Classification | Jul 8, 2024 | Deep LearningFairness | —Unverified | 0 | 0 |
| Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools | Oct 14, 2021 | Adversarial AttackFairness | —Unverified | 0 | 0 |
