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Fairness

796 directly classified papers

Papers per year

Papers

Hybrid Sample Synthesis-Based Debiasing of Classifier in Limited Data Setting WACV 2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes EMNLP 2024
Humans or LLMs as the Judge? A Study on Judgement Bias EMNLP 2024
Aequitas Flow: Streamlining Fair ML Experimentation JMLR 2024
Fairness in Survival Analysis with Distributionally Robust Optimization JMLR 2024
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification EMNLP 2024
Fairness guarantees in multi-class classification with demographic parity JMLR 2024
Mixed Fair Division: A Survey AAAI 2024
Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024
FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting AAAI 2024
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment AAAI 2024
Temporal Fairness in Multiwinner Voting AAAI 2024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization EMNLP 2024
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks AAAI 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024
Long-Term Fair Decision Making through Deep Generative Models AAAI 2024
Classist Tools: Social Class Correlates with Performance in NLP ACL 2024
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification AAAI 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency AAAI 2024
Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference AAAI 2024
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster ACL 2024
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks AAAI 2024
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name Gender Prediction IJCAI 2024
Providing Fair Recourse over Plausible Groups AAAI 2024
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution ACL 2024