| Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment | Apr 11, 2024 | AttributeFairness | CodeCode Available | 0 |
| Generating Counterfactual Explanations Using Cardinality Constraints | Apr 11, 2024 | counterfactualFairness | —Unverified | 0 |
| OpenBias: Open-set Bias Detection in Text-to-Image Generative Models | Apr 11, 2024 | Bias DetectionFairness | CodeCode Available | 1 |
| FairEM360: A Suite for Responsible Entity Matching | Apr 10, 2024 | Fairness | CodeCode Available | 0 |
| Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They Represent | Apr 10, 2024 | Fairness | —Unverified | 0 |
| Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking | Apr 9, 2024 | Deep Reinforcement LearningFairness | CodeCode Available | 0 |
| FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models | Apr 9, 2024 | FairnessGPU | CodeCode Available | 1 |
| Fair Graph Neural Network with Supervised Contrastive Regularization | Apr 9, 2024 | counterfactualFairness | —Unverified | 0 |
| FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation | Apr 8, 2024 | AttributeFairness | CodeCode Available | 0 |
| Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set | Apr 8, 2024 | Fairnessregression | —Unverified | 0 |
