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Fairness

3,337 papers

Papers per year

Papers

Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training ACL 2023
Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models ACL 2023
Examining the Causal Impact of First Names on Language Models: The Case of Social Commonsense Reasoning ACL 2023
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter ACL 2023
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models ACL 2023
Debunking Biases in Attention ACL 2023
Are fairness metric scores enough to assess discrimination biases in machine learning? ACL 2023
Towards Detecting Harmful Agendas in News Articles ACL 2023
Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity ACL 2023
Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor ACL 2023
Resources for Automated Identification of Online Gender-Based Violence: A Systematic Review ACL 2023
Harmful Language Datasets: An Assessment of Robustness ACL 2023
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations ACML 2023
Don’t be fooled: label leakage in explanation methods and the importance of their quantitative evaluation AISTATS 2023
A New Causal Decomposition Paradigm towards Health Equity AISTATS 2023
Fair learning with Wasserstein barycenters for non-decomposable performance measures AISTATS 2023
On the Strategyproofness of the Geometric Median AISTATS 2023
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery AISTATS 2023
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling AISTATS 2023
Mean Parity Fair Regression in RKHS AISTATS 2023
Fair Representation Learning with Unreliable Labels AISTATS 2023
Feasible Recourse Plan via Diverse Interpolation AISTATS 2023
Computing Abductive Explanations for Boosted Trees AISTATS 2023
Efficient fair PCA for fair representation learning AISTATS 2023
Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare AISTATS 2023