Fairness

Fair Survival Time Prediction via Mutual Information Minimization MLHC 2023 Fair Text Classification with Wasserstein Independence EMNLP 2023 Fair Without Leveling Down: A New Intersectional Fairness Definition EMNLP 2023 Fair yet Asymptotically Equal Collaborative Learning ICML 2023 Faithfulness Tests for Natural Language Explanations ACL 2023 FARE: Provably Fair Representation Learning with Practical Certificates ICML 2023 Fast and Differentially Private Fair Clustering IJCAI 2023 Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples AAAI 2023 Fast Feature Selection with Fairness Constraints AISTATS 2023 Fast Model DeBias with Machine Unlearning NeurIPS 2023 FEAMOE: Fair, Explainable and Adaptive Mixture of Experts IJCAI 2023 Feasible Recourse Plan via Diverse Interpolation AISTATS 2023 FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023 FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data ICLR 2023 “Fifty Shades of Bias”: Normative Ratings of Gender Bias in GPT Generated English Text EMNLP 2023 Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases ACL 2023 Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation ICML 2023 Finding Fair Allocations under Budget Constraints AAAI 2023 Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models ACL 2023 FiRC at SemEval-2023 Task 10: Fine-grained Classification of Online Sexism Content Using DeBERTa SemEval 2023 First-Choice Maximality Meets Ex-ante and Ex-post Fairness IJCAI 2023 FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models ACL 2023 For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network AAAI 2023 From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification EMNLP 2023 From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models ACL 2023