group fairness

Active Sampling for Min-Max Fairness ICML 2022 Are Pretrained Multilingual Models Equally Fair across Languages? COLING 2022 Assessing Multilingual Fairness in Pre-trained Multimodal Representations ACL 2022 Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection NeurIPS 2022 Causal Conceptions of Fairness and their Consequences ICML 2022 Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods MLHC 2022 Equity Promotion in Online Resource Allocation AAAI 2022 Fairness with Adaptive Weights ICML 2022 Fairness without Demographics through Knowledge Distillation NeurIPS 2022 Fair Normalizing Flows ICLR 2022 Fair Ranking with Noisy Protected Attributes NeurIPS 2022 Generalized Demographic Parity for Group Fairness ICLR 2022 Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing ICML 2022 Learning Fair Classifiers With Partially Annotated Group Labels CVPR 2022 Measuring Fairness of Text Classifiers via Prediction Sensitivity ACL 2022 On the Fairness of Causal Algorithmic Recourse AAAI 2022 Outlier-Aware Training for Improving Group Accuracy Disparities AACL 2022 Simple data balancing achieves competitive worst-group-accuracy CLeaR 2022 Strategyproof Mechanisms for Group-Fair Facility Location Problems IJCAI 2022 Towards Debiasing DNN Models from Spurious Feature Influence AAAI 2022 Towards Fair Dataset Distillation for Text Classification EMNLP 2022 Transferring Fairness under Distribution Shifts via Fair Consistency Regularization NeurIPS 2022 Understanding Instance-Level Impact of Fairness Constraints ICML 2022 Adaptive Sampling for Minimax Fair Classification NeurIPS 2021 All of the Fairness for Edge Prediction with Optimal Transport AISTATS 2021