Fairness

Fairly Allocating Goods and (Terrible) Chores IJCAI 2023 Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach NeurIPS 2023 Fair Neighbor Embedding ICML 2023 Fairness and Accuracy under Domain Generalization ICLR 2023 Fairness and Explainability: Bridging the Gap towards Fair Model Explanations AAAI 2023 Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy IJCAI 2023 Fairness and Stability in Complex Domains IJCAI 2023 Fairness-aware class imbalanced learning on multiple subgroups UAI 2023 Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes ICLR 2023 Fairness Aware Counterfactuals for Subgroups NeurIPS 2023 Fairness Concepts for Indivisible Items with Externalities AAAI 2023 Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments NeurIPS 2023 Fairness-guided Few-shot Prompting for Large Language Models NeurIPS 2023 Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results AAAI 2023 Fairness in Language Models Beyond English: Gaps and Challenges EACL 2023 Fairness in Matching under Uncertainty ICML 2023 Fairness in Streaming Submodular Maximization over a Matroid Constraint ICML 2023 Fairness via Group Contribution Matching IJCAI 2023 Fair, Polylog-Approximate Low-Cost Hierarchical Clustering NeurIPS 2023 FairPrism: Evaluating Fairness-Related Harms in Text Generation ACL 2023 Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023 Fair Representation Learning with Unreliable Labels AISTATS 2023 Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training CVPR 2023 Fair Short Paths in Vertex-Colored Graphs AAAI 2023 Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint NeurIPS 2023