Fairness

Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks ACL 2023 Factors Affecting the Performance of Automated Speaker Verification in Alzheimer’s Disease Clinical Trials ACL 2023 FACTS: First Amplify Correlations and Then Slice to Discover Bias ICCV 2023 Fair Adaptive Experiments NeurIPS 2023 Fair and Accurate Decision Making through Group-Aware Learning ICML 2023 Fair and Optimal Classification via Post-Processing ICML 2023 Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning ICML 2023 Fair Attribute Completion on Graph with Missing Attributes ICLR 2023 Fair Canonical Correlation Analysis NeurIPS 2023 Fair-CDA: Continuous and Directional Augmentation for Group Fairness AAAI 2023 Fair Data Representation for Machine Learning at the Pareto Frontier JMLR 2023 Fair Densities via Boosting the Sufficient Statistics of Exponential Families ICML 2023 Fair Division with Prioritized Agents AAAI 2023 FaiREE: fair classification with finite-sample and distribution-free guarantee ICLR 2023 Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP EACL 2023 FAIRER: Fairness as Decision Rationale Alignment ICML 2023 FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery AISTATS 2023 FairFed: Enabling Group Fairness in Federated Learning AAAI 2023 Fair Federated Medical Image Segmentation via Client Contribution Estimation CVPR 2023 FairGBM: Gradient Boosting with Fairness Constraints ICLR 2023 Fair Generative Models via Transfer Learning AAAI 2023 Fair Graph Distillation NeurIPS 2023 Fairlearn: Assessing and Improving Fairness of AI Systems JMLR 2023 Fair learning with Wasserstein barycenters for non-decomposable performance measures AISTATS 2023 FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NeurIPS 2023