Fairness

Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric CVPR 2023 DeepGemini: Verifying Dependency Fairness for Deep Neural Network AAAI 2023 Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness AAAI 2023 Delegated Classification NeurIPS 2023 Demographic Parity Constrained Minimax Optimal Regression under Linear Model NeurIPS 2023 Detecting intersectionality in NER models: A data-driven approach EACL 2023 DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias EMNLP 2023 DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning NeurIPS 2023 Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023 Dimensions of Online Conflict: Towards Modeling Agonism EMNLP 2023 Discover and Cure: Concept-aware Mitigation of Spurious Correlation ICML 2023 Discriminative-Invariant Representation Learning for Unbiased Recommendation IJCAI 2023 Distributionally Robust Optimization with Probabilistic Group AAAI 2023 Distribution-Free Statistical Dispersion Control for Societal Applications NeurIPS 2023 Diverse Community Data for Benchmarking Data Privacy Algorithms NeurIPS 2023 DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models ACL 2023 Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models EMNLP 2023 Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment? ACL 2023 Don’t be fooled: label leakage in explanation methods and the importance of their quantitative evaluation AISTATS 2023 Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions EACL 2023 Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark ICML 2023 Doubly Constrained Fair Clustering NeurIPS 2023 Doubly Fair Dynamic Pricing AISTATS 2023 Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes NeurIPS 2023 Efficient fair PCA for fair representation learning AISTATS 2023