Fairness

Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation EMNLP 2020 Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation ACL 2020 Equalized odds postprocessing under imperfect group information AISTATS 2020 Fair Contextual Multi-Armed Bandits: Theory and Experiments UAI 2020 Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings EMNLP 2020 Fair Multiple Decision Making Through Soft Interventions NeurIPS 2020 Fairness constraints can help exact inference in structured prediction NeurIPS 2020 Faking Fairness via Stealthily Biased Sampling AAAI 2020 Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ACL 2020 Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations ACL 2020 Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness IJCAI 2020 Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models COLING 2020 IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience AAAI 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 to Deceive with Attention-Based Explanations ACL 2020 LOGAN: Local Group Bias Detection by Clustering EMNLP 2020 Masking Actor Information Leads to Fairer Political Claims Detection ACL 2020 Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics ICML 2020 Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling ACL 2020 Metric-Free Individual Fairness in Online Learning NeurIPS 2020 Minimax Pareto Fairness: A Multi Objective Perspective ICML 2020 Multi-Dimensional Gender Bias Classification EMNLP 2020 Pairwise Fairness for Ranking and Regression AAAI 2020