Fairness

Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing ICML 2020 Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings EMNLP 2020 Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds ACL 2020 It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations ACL 2020 KFC: A Scalable Approximation Algorithm for k−center Fair Clustering NeurIPS 2020 Learning Certified Individually Fair Representations NeurIPS 2020 Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns AAAI 2020 Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020 Learning Fair Representations for Kernel Models AISTATS 2020 Learning from Failure: De-biasing Classifier from Biased Classifier NeurIPS 2020 Learning to Deceive with Attention-Based Explanations ACL 2020 LOGAN: Local Group Bias Detection by Clustering EMNLP 2020 Maintaining Discrimination and Fairness in Class Incremental Learning CVPR 2020 Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights AAAI 2020 Masking Actor Information Leads to Fairer Political Claims Detection ACL 2020 Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics ICML 2020 Measuring the Effects of Bias in Training Data for Literary Classification COLING 2020 Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models IJCAI 2020 Metric-Free Individual Fairness in Online Learning NeurIPS 2020 Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance ACL 2020 Minimax Pareto Fairness: A Multi Objective Perspective ICML 2020 Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning CVPR 2020 Mitigating Gender Bias Amplification in Distribution by Posterior Regularization ACL 2020 Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning EMNLP 2020 Mitigating Gender Bias in Machine Translation with Target Gender Annotations EMNLP 2020