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Fairness

3,511 papers

Papers per year

251
692
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'25

Papers

Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets EMNLP 2019
The Woman Worked as a Babysitter: On Biases in Language Generation EMNLP 2019
Towards Debiasing Fact Verification Models EMNLP 2019
Posing Fair Generalization Tasks for Natural Language Inference EMNLP 2019
Detecting and Reducing Bias in a High Stakes Domain EMNLP 2019
Human-grounded Evaluations of Explanation Methods for Text Classification EMNLP 2019
It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution EMNLP 2019
Examining Gender Bias in Languages with Grammatical Gender EMNLP 2019
Perturbation Sensitivity Analysis to Detect Unintended Model Biases EMNLP 2019
Exploring Human Gender Stereotypes with Word Association Test EMNLP 2019
Adversarial Removal of Demographic Attributes Revisited EMNLP 2019
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts EMNLP 2019
Tanbih: Get To Know What You Are Reading EMNLP 2019
On Making Reading Comprehension More Comprehensive EMNLP 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual EMNLP 2019
Veritas Annotator: Discovering the Origin of a Rumour EMNLP 2019
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations ICCV 2019
Fair Regression: Quantitative Definitions and Reduction-Based Algorithms ICML 2019
Fairwashing: the risk of rationalization ICML 2019
Scalable Fair Clustering ICML 2019
Compositional Fairness Constraints for Graph Embeddings ICML 2019
Understanding the Origins of Bias in Word Embeddings ICML 2019
Proportionally Fair Clustering ICML 2019
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints ICML 2019
Flexibly Fair Representation Learning by Disentanglement ICML 2019