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Fairness

796 directly classified papers

Papers per year

Papers

Fairness Constraints: A Flexible Approach for Fair Classification JMLR 2019
Posing Fair Generalization Tasks for Natural Language Inference EMNLP 2019
Noise-tolerant fair classification NIPS 2019
Inherent Tradeoffs in Learning Fair Representations NIPS 2019
Debiasing Embeddings for Reduced Gender Bias in Text Classification ACL 2019
Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis ACL 2019
Equity Beyond Bias in Language Technologies for Education ACL 2019
Racial Bias in Hate Speech and Abusive Language Detection Datasets ACL 2019
Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function ACL 2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets ACL 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification NIPS 2019
REPAIR: Removing Representation Bias by Dataset Resampling CVPR 2019
Paradoxes in Fair Machine Learning NIPS 2019
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds NIPS 2019
Offline Contextual Bandits with High Probability Fairness Guarantees NIPS 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets EMNLP 2019
Automated Essay Scoring in the Presence of Biased Ratings NAACL 2018
Empirical Risk Minimization Under Fairness Constraints NIPS 2018
Fair and Diverse DPP-Based Data Summarization ICML 2018
Nonconvex Optimization for Regression with Fairness Constraints ICML 2018
The Price of Fair PCA: One Extra dimension NIPS 2018
Preventing Disparate Treatment in Sequential Decision Making IJCAI 2018
Delayed Impact of Fair Machine Learning ICML 2018
Reducing Gender Bias in Abusive Language Detection EMNLP 2018
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer NIPS 2018