Fairness

FAIRER: Fairness as Decision Rationale Alignment ICML 2023 FairGBM: Gradient Boosting with Fairness Constraints ICLR 2023 Fair Generative Models via Transfer Learning AAAI 2023 Fairlearn: Assessing and Improving Fairness of AI Systems JMLR 2023 FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NeurIPS 2023 Fairness and Welfare Quantification for Regret in Multi-Armed Bandits AAAI 2023 Fairness Concepts for Indivisible Items with Externalities AAAI 2023 FairPrism: Evaluating Fairness-Related Harms in Text Generation ACL 2023 Fair Text Classification with Wasserstein Independence EMNLP 2023 Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation ACL 2023 FARE: Provably Fair Representation Learning with Practical Certificates ICML 2023 Fast Model DeBias with Machine Unlearning NeurIPS 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases ACL 2023 Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models ACL 2023 FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding CVPR 2023 From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models ACL 2023 From Pseudorandomness to Multi-Group Fairness and Back COLT 2023 Gender Biases in Automatic Evaluation Metrics for Image Captioning EMNLP 2023 Gender-Inclusive Grammatical Error Correction through Augmentation ACL 2023 Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models ACL 2023 Generalized Disparate Impact for Configurable Fairness Solutions in ML ICML 2023 Geographical Erasure in Language Generation EMNLP 2023 Hey, Siri! Why Are You Biased against Women? (Student Abstract) AAAI 2023 Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs EMNLP 2023