Fairness

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations ICCV 2019 Balanced Ranking with Diversity Constraints IJCAI 2019 Balancing Efficiency and Fairness in On-Demand Ridesourcing NeurIPS 2019 Bayesian Fairness AAAI 2019 Be Inaccurate but Don’t Be Indecisive: How Error Distribution Can Affect User Experience AAAI 2019 Bias Analysis and Mitigation in the Evaluation of Authorship Verification ACL 2019 BiOWA for Preference Aggregation with Bipolar Scales: Application to Fair Optimization in Combinatorial Domains IJCAI 2019 Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings NAACL 2019 Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks CVPR 2019 Characterizing Bias in Classifiers using Generative Models NeurIPS 2019 Compositional Fairness Constraints for Graph Embeddings ICML 2019 CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech ACL 2019 Conceptor Debiasing of Word Representations Evaluated on WEAT ACL 2019 Convex Formulations for Fair Principal Component Analysis AAAI 2019 Coresets for Clustering with Fairness Constraints NeurIPS 2019 Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology ACL 2019 Counterfactual Fairness: Unidentification, Bound and Algorithm IJCAI 2019 Counterfactual Reasoning for Fair Clinical Risk Prediction MLHC 2019 CXPlain: Causal Explanations for Model Interpretation under Uncertainty NeurIPS 2019 Data Shapley: Equitable Valuation of Data for Machine Learning ICML 2019 Debiasing Embeddings for Reduced Gender Bias in Text Classification ACL 2019 Delayed Impact of Fair Machine Learning IJCAI 2019 Detecting and Reducing Bias in a High Stakes Domain EMNLP 2019 Detection of Abusive Language: the Problem of Biased Datasets NAACL 2019 Differentially Private Fair Learning ICML 2019