Fairness

CFA: Class-Wise Calibrated Fair Adversarial Training CVPR 2023 CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation ACL 2023 CGS: Coupled Growth and Survival Model with Cohort Fairness IJCAI 2023 Change is Hard: A Closer Look at Subpopulation Shift ICML 2023 Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach NeurIPS 2023 Class Adaptive Network Calibration CVPR 2023 Class Fairness in Online Matching AAAI 2023 CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction EMNLP 2023 Co2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning EMNLP 2023 Coarse race data conceals disparities in clinical risk score performance MLHC 2023 COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements ACL 2023 COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation EMNLP 2023 Collaborative Causal Inference with Fair Incentives ICML 2023 Combating Exacerbated Heterogeneity for Robust Models in Federated Learning ICLR 2023 Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment AAAI 2023 Combining Adversaries with Anti-adversaries in Training AAAI 2023 Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions NeurIPS 2023 Comparing Biases and the Impact of Multilingual Training across Multiple Languages EMNLP 2023 Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples EACL 2023 CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations EMNLP 2023 Computer says “No”: The Case Against Empathetic Conversational AI ACL 2023 Computing Abductive Explanations for Boosted Trees AISTATS 2023 Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement NeurIPS 2023 Conceptor-Aided Debiasing of Large Language Models EMNLP 2023 Consensus and Subjectivity of Skin Tone Annotation for ML Fairness NeurIPS 2023