| Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness | Oct 9, 2023 | Fairness | CodeCode Available | 0 |
| On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model | Oct 9, 2023 | Decision MakingFairness | —Unverified | 0 |
| Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation | Oct 9, 2023 | Data AugmentationFairness | —Unverified | 0 |
| Unleashing the power of Neural Collapse for Transferability Estimation | Oct 9, 2023 | Fairnessimage-classification | —Unverified | 0 |
| Post-hoc Bias Scoring Is Optimal For Fair Classification | Oct 9, 2023 | Binary ClassificationFairness | CodeCode Available | 0 |
| A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics | Oct 9, 2023 | EthicsFairness | CodeCode Available | 1 |
| Foundation Models Meet Visualizations: Challenges and Opportunities | Oct 9, 2023 | Fairness | —Unverified | 0 |
| A Review of the Ethics of Artificial Intelligence and its Applications in the United States | Oct 9, 2023 | Decision MakingEthics | —Unverified | 0 |
| FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis | Oct 8, 2023 | FairnessMedical Diagnosis | CodeCode Available | 1 |
| Interventions Against Machine-Assisted Statistical Discrimination | Oct 6, 2023 | Fairness | —Unverified | 0 |
