Fairness

hBERT + BiasCorp - Fighting Racism on the Web EACL 2021 Hell Hath No Fury? Correcting Bias in the NRC Emotion Lexicon ACL 2021 Hidden Biases in Unreliable News Detection Datasets EACL 2021 HONEST: Measuring Hurtful Sentence Completion in Language Models NAACL 2021 How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP 2021 How Linguistically Fair Are Multilingual Pre-Trained Language Models? AAAI 2021 How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation AAAI 2021 How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021 Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model JMLR 2021 Improving Calibration for Long-Tailed Recognition CVPR 2021 Improving Counterfactual Generation for Fair Hate Speech Detection ACL 2021 Improving Factual Consistency Between a Response and Persona Facts EACL 2021 Improving Factual Consistency of Abstractive Summarization on Customer Feedback ACL 2021 Improving Fairness and Privacy in Selection Problems AAAI 2021 Improving Policing with Natural Language Processing ACL 2021 Incentivizing Truthfulness Through Audits in Strategic Classification AAAI 2021 Individual Fairness in Hindsight JMLR 2021 Individual Fairness in Kidney Exchange Programs AAAI 2021 Individually Fair Gradient Boosting ICLR 2021 Individually Fair Rankings ICLR 2021 InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective ICLR 2021 Intrinsic Bias Metrics Do Not Correlate with Application Bias ACL 2021 Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling AAAI 2021 Investigating the Impact of Gender Representation in ASR Training Data: a Case Study on Librispeech ACL 2021 Justicia: A Stochastic SAT Approach to Formally Verify Fairness AAAI 2021