| Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach | Mar 10, 2022 | Autonomous DrivingEdge-computing | —Unverified | 0 |
| Assessing Phenotype Definitions for Algorithmic Fairness | Mar 10, 2022 | Fairness | —Unverified | 0 |
| CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization | Mar 10, 2022 | FairnessFederated Learning | CodeCode Available | 1 |
| Evaluating Proposed Fairness Models for Face Recognition Algorithms | Mar 9, 2022 | Face RecognitionFairness | —Unverified | 0 |
| Downstream Fairness Caveats with Synthetic Healthcare Data | Mar 9, 2022 | FairnessGenerative Adversarial Network | —Unverified | 0 |
| Data Representativity for Machine Learning and AI Systems | Mar 9, 2022 | BIG-bench Machine LearningExperimental Design | —Unverified | 0 |
| Renyi Fair Information Bottleneck for Image Classification | Mar 9, 2022 | ClassificationFairness | —Unverified | 0 |
| Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers | Mar 9, 2022 | Fairness | CodeCode Available | 1 |
| The Long Arc of Fairness: Formalisations and Ethical Discourse | Mar 8, 2022 | ARCDecision Making | —Unverified | 0 |
| Learning Resilient Radio Resource Management Policies with Graph Neural Networks | Mar 7, 2022 | FairnessGraph Neural Network | CodeCode Available | 1 |
