| Information Theoretic Measures for Fairness-aware Feature Selection | Jun 1, 2021 | Decision MakingFairness | —Unverified | 0 |
| A Clarification of the Nuances in the Fairness Metrics Landscape | Jun 1, 2021 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| Fair Clustering Using Antidote Data | Jun 1, 2021 | ClusteringFairness | —Unverified | 0 |
| Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks | May 31, 2021 | Edge-computingFairness | —Unverified | 0 |
| Using Pareto Simulated Annealing to Address Algorithmic Bias in Machine Learning | May 31, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Rawlsian Fair Adaptation of Deep Learning Classifiers | May 31, 2021 | Deep LearningFairness | —Unverified | 0 |
| Unifying Distillation with Personalization in Federated Learning | May 31, 2021 | FairnessFederated Learning | —Unverified | 0 |
| Demographic Fairness in Biometric Systems: What do the Experts say? | May 31, 2021 | FairnessManagement | —Unverified | 0 |
| SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning | May 31, 2021 | FairnessMulti-agent Reinforcement Learning | CodeCode Available | 1 |
| DISSECT: Disentangled Simultaneous Explanations via Concept Traversals | May 31, 2021 | counterfactualFairness | CodeCode Available | 1 |
