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Fairness

796 directly classified papers

Papers per year

Papers

Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation NIPS 2022
On Learning Fairness and Accuracy on Multiple Subgroups NIPS 2022
The Effects of Regularization and Data Augmentation are Class Dependent NIPS 2022
On Feature Learning in the Presence of Spurious Correlations NIPS 2022
Fair and Optimal Decision Trees: A Dynamic Programming Approach NIPS 2022
Assessing the Reliability of Word Embedding Gender Bias Measures EMNLP 2021
Uncovering Main Causalities for Long-tailed Information Extraction EMNLP 2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies EMNLP 2021
Competency Problems: On Finding and Removing Artifacts in Language Data EMNLP 2021
Mitigating Language-Dependent Ethnic Bias in BERT EMNLP 2021
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models EMNLP 2021
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP 2021
Probing Toxic Content in Large Pre-Trained Language Models ACL 2021
Societal Biases in Language Generation: Progress and Challenges ACL 2021
Gender bias amplification during Speed-Quality optimization in Neural Machine Translation ACL 2021
Guideline Bias in Wizard-of-Oz Dialogues ACL 2021
Keynote Abstract: Machine Learning in Conflict Studies: Reflections on Ethics, Collaboration, and Ongoing Challenges ACL 2021
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives ACL 2021
Evaluating Gender Bias in Hindi-English Machine Translation ACL 2021
Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts ACL 2021
Assessing Gender Bias in Wikipedia: Inequalities in Article Titles ACL 2021
Fine-Grained Fairness Analysis of Abusive Language Detection Systems with CheckList ACL 2021
Optimized Score Transformation for Consistent Fair Classification JMLR 2021
Individual Fairness in Hindsight JMLR 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ACL 2021