fairness metric

A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination AAAI 2026 A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and Tasks CVPR 2026 Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation ICCV 2025 Coverage-based Fairness in Multi-document Summarization NAACL 2025 CUGF: A Reliable and Fair Recommendation Framework AAAI 2025 Fair Clustering: A Causal Perspective CLeaR 2025 Fairness in Dysarthric Speech Synthesis: Understanding Intrinsic Bias in Dysarthric Speech Cloning using F5-TTS Interspeech 2025 FairTP: A Prolonged Fairness Framework for Traffic Prediction AAAI 2025 Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions EMNLP 2025 Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach Interspeech 2025 Multi-Group Proportional Representations for Text-to-Image Models CVPR 2025 Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation EMNLP 2025 Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning AISTATS 2024 Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification AAAI 2024 Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition ICLR 2024 FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication CVPR 2024 Fairness in Social Influence Maximization via Optimal Transport NeurIPS 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024 ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment AAAI 2024 Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems AAAI 2024 Measuring and Addressing Indexical Bias in Information Retrieval ACL 2024 Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP EMNLP 2024 On the Maximal Local Disparity of Fairness-Aware Classifiers ICML 2024 The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning NeurIPS 2024 Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results AISTATS 2024