Fairness

Fair and Truthful Giveaway Lotteries AAAI 2022 Fair Bayes-Optimal Classifiers Under Predictive Parity NeurIPS 2022 FairCal: Fairness Calibration for Face Verification ICLR 2022 Fair Conformal Predictors for Applications in Medical Imaging AAAI 2022 Fair Contrastive Learning for Facial Attribute Classification CVPR 2022 Fair Disaster Containment via Graph-Cut Problems AISTATS 2022 Fair Equilibria in Sponsored Search Auctions: The Advertisers’ Perspective IJCAI 2022 FairFoody: Bringing In Fairness in Food Delivery AAAI 2022 Fair Generalized Linear Models with a Convex Penalty ICML 2022 Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting NeurIPS 2022 FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing ACL 2022 FairLib: A Unified Framework for Assessing and Improving Fairness EMNLP 2022 Fairness-Aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models CVPR 2022 Fairness-Aware PAC Learning from Corrupted Data JMLR 2022 Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework AAAI 2022 Fairness in Federated Learning via Core-Stability NeurIPS 2022 Fairness Interventions as (Dis)Incentives for Strategic Manipulation ICML 2022 Fairness Reprogramming NeurIPS 2022 Fairness Trade-Offs and Partial Debiasing ACML 2022 Fairness Transferability Subject to Bounded Distribution Shift NeurIPS 2022 Fairness with Adaptive Weights ICML 2022 Fairness without Demographics through Knowledge Distillation NeurIPS 2022 Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values AAAI 2022 Fairness without the Sensitive Attribute via Causal Variational Autoencoder IJCAI 2022 Fair NLP Models with Differentially Private Text Encoders EMNLP 2022