Fairness

Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations ICLR 2022 Pairwise Fairness for Ordinal Regression AISTATS 2022 Participatory Machine Learning Models in Feminicide News Alert Detection AAAI 2022 Perturbation Augmentation for Fairer NLP EMNLP 2022 Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? NeurIPS 2022 Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset NeurIPS 2022 Pipelines for Social Bias Testing of Large Language Models ACL 2022 Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems NeurIPS 2022 Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation ICLR 2022 Post-processing of Differentially Private Data: A Fairness Perspective IJCAI 2022 PPDL: Predicate Probability Distribution Based Loss for Unbiased Scene Graph Generation CVPR 2022 Probing Classifiers are Unreliable for Concept Removal and Detection NeurIPS 2022 Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs EMNLP 2022 Prototype Based Classification from Hierarchy to Fairness ICML 2022 Pruning has a disparate impact on model accuracy NeurIPS 2022 Pushing the limits of fairness impossibility: Who's the fairest of them all? NeurIPS 2022 Quadratic metric elicitation for fairness and beyond UAI 2022 Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP NeurIPS 2022 Quantifying Bias from Decoding Techniques in Natural Language Generation COLING 2022 Quantifying Health Inequalities Induced by Data and AI Models IJCAI 2022 Quantifying Societal Bias Amplification in Image Captioning CVPR 2022 Rashomon Capacity: A Metric for Predictive Multiplicity in Classification NeurIPS 2022 Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm NeurIPS 2022 Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution NAACL 2022 Re-contextualizing Fairness in NLP: The Case of India AACL 2022