| Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play | Feb 11, 2023 | Active LearningFairness | —Unverified | 0 |
| Fairness-aware Multi-view Clustering | Feb 11, 2023 | ClusteringContrastive Learning | CodeCode Available | 0 |
| Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP | Feb 11, 2023 | FairnessModel Selection | CodeCode Available | 0 |
| A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI | Feb 10, 2023 | FairnessSystematic Literature Review | —Unverified | 0 |
| Scaling Vision Transformers to 22 Billion Parameters | Feb 10, 2023 | Action ClassificationFairness | CodeCode Available | 0 |
| Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models | Feb 9, 2023 | Computational EfficiencyFairness | —Unverified | 0 |
| Designing Fairness in Autonomous Peer-to-peer Energy Trading | Feb 9, 2023 | energy managementenergy trading | —Unverified | 0 |
| On Fairness and Stability: Is Estimator Variance a Friend or a Foe? | Feb 9, 2023 | FairnessUncertainty Quantification | —Unverified | 0 |
| On Generalized Degree Fairness in Graph Neural Networks | Feb 8, 2023 | FairnessGraph Neural Network | CodeCode Available | 0 |
| On the Richness of Calibration | Feb 8, 2023 | Fairness | —Unverified | 0 |
| Machine Learning for Synthetic Data Generation: A Review | Feb 8, 2023 | FairnessSynthetic Data Generation | —Unverified | 0 |
| Fairness in Matching under Uncertainty | Feb 8, 2023 | Fairness | —Unverified | 0 |
| Mitigating Bias in Visual Transformers via Targeted Alignment | Feb 8, 2023 | AttributeFairness | —Unverified | 0 |
| Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness | Feb 7, 2023 | FairnessImage Generation | CodeCode Available | 1 |
| From Utilitarian to Rawlsian Designs for Algorithmic Fairness | Feb 7, 2023 | Fairness | —Unverified | 0 |
| Robustness Implies Fairness in Causal Algorithmic Recourse | Feb 7, 2023 | Adversarial RobustnessFairness | CodeCode Available | 0 |
| Ethical Considerations for Responsible Data Curation | Feb 7, 2023 | DiversityFairness | CodeCode Available | 0 |
| A conceptual model for leaving the data-centric approach in machine learning | Feb 7, 2023 | Fairness | —Unverified | 0 |
| To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods | Feb 7, 2023 | EthicsFairness | —Unverified | 0 |
| An Empirical Analysis of Fairness Notions under Differential Privacy | Feb 6, 2023 | Fairness | —Unverified | 0 |
| Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective | Feb 6, 2023 | FairnessRecommendation Systems | —Unverified | 0 |
| Fair Minimum Representation Clustering | Feb 6, 2023 | ClusteringFairness | —Unverified | 0 |
| The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default | Feb 5, 2023 | FairnessJurisprudence | —Unverified | 0 |
| Improving Fair Training under Correlation Shifts | Feb 5, 2023 | Fairness | —Unverified | 0 |
| Fair Spatial Indexing: A paradigm for Group Spatial Fairness | Feb 5, 2023 | Decision MakingFairness | —Unverified | 0 |