model fairness

Counterfactual Inference for Text Classification Debiasing ACL 2021 dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python JMLR 2021 Enhancing Model Robustness and Fairness with Causality: A Regularization Approach EMNLP 2021 FairBatch: Batch Selection for Model Fairness ICLR 2021 Fair Feature Distillation for Visual Recognition CVPR 2021 Improving Fairness and Privacy in Selection Problems AAAI 2021 Large Image Datasets: A Pyrrhic Win for Computer Vision? WACV 2021 Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models NAACL 2021 Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance MLHC 2021 On the Impact of Random Seeds on the Fairness of Clinical Classifiers NAACL 2021 Refining Language Models with Compositional Explanations NeurIPS 2021 SD-QA: Spoken Dialectal Question Answering for the Real World EMNLP 2021 Actionable Ethics through Neural Learning AAAI 2020 Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020 A Compliance Checking Framework for DNN Models IJCAI 2019 Racial Bias in Hate Speech and Abusive Language Detection Datasets ACL 2019