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Fairness

3,574 papers

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Papers

Revisiting the Importance of Amplifying Bias for Debiasing AAAI 2023 Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization ICLR 2023 Risks and NLP Design: A Case Study on Procedural Document QA ACL 2023 ROBBIE: Robust Bias Evaluation of Large Generative Language Models EMNLP 2023 Robust Concept Erasure via Kernelized Rate-Distortion Maximization NeurIPS 2023 Robust distillation for worst-class performance: on the interplay between teacher and student objectives UAI 2023 Robust Fair Clustering: A Novel Fairness Attack and Defense Framework ICLR 2023 Robust Natural Language Understanding with Residual Attention Debiasing ACL 2023 Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions ACL 2023 Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023 Sampling bias in NLU models: Impact and Mitigation Interspeech 2023 Sampling Ex-Post Group-Fair Rankings IJCAI 2023 Scalable Fair Influence Maximization NeurIPS 2023 Scalable Spectral Clustering with Group Fairness Constraints AISTATS 2023 Searching for Fairer Machine Learning Ensembles AutoML 2023 SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models ACL 2023 Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images NeurIPS 2023 SemEval-2023 Task 10: Explainable Detection of Online Sexism SemEval 2023 SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles IJCAI 2023 Shapley Based Residual Decomposition for Instance Analysis ICML 2023 Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection ACL 2023 SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification AAAI 2023 Simple and Fast Group Robustness by Automatic Feature Reweighting ICML 2023 Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness NeurIPS 2023 Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria AAAI 2023