Fairness

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning NAACL 2021 Optimized Score Transformation for Consistent Fair Classification JMLR 2021 OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings EMNLP 2021 Overinterpretation reveals image classification model pathologies NeurIPS 2021 PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review JMLR 2021 Perceptual Score: What Data Modalities Does Your Model Perceive? NeurIPS 2021 Picking Sequences and Monotonicity in Weighted Fair Division IJCAI 2021 Post-processing for Individual Fairness NeurIPS 2021 Post-selection inference with HSIC-Lasso ICML 2021 Probing Toxic Content in Large Pre-Trained Language Models ACL 2021 Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets NeurIPS 2021 Protecting the Protected Group: Circumventing Harmful Fairness AAAI 2021 Qualitative Analysis of Depression Models by Demographics NAACL 2021 Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing ACL 2021 Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability ICML 2021 RE-AIMing Predictive Text EACL 2021 Reconsidering Annotator Disagreement about Racist Language: Noise or Signal? NAACL 2021 RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ACL 2021 Refining Language Models with Compositional Explanations NeurIPS 2021 Regularized Online Allocation Problems: Fairness and Beyond ICML 2021 Regularizing Attention Networks for Anomaly Detection in Visual Question Answering AAAI 2021 Relaxing Local Robustness NeurIPS 2021 Reliability Testing for Natural Language Processing Systems ACL 2021 Representation Learning With Statistical Independence to Mitigate Bias WACV 2021 Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data ICML 2021