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Fairness

796 directly classified papers

Papers per year

Papers

Trade-Offs Between Fairness and Privacy in Language Modeling ACL 2023
Stubborn Lexical Bias in Data and Models ACL 2023
Matrix Estimation for Individual Fairness ICML 2023
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning ICML 2023
Fair and Optimal Classification via Post-Processing ICML 2023
A Simple, Yet Effective Approach to Finding Biases in Code Generation ACL 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve ICML 2023
Fair Densities via Boosting the Sufficient Statistics of Exponential Families ICML 2023
When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023
Improving Fair Training under Correlation Shifts ICML 2023
Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training CVPR 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting ICML 2023
On the Within-Group Fairness of Screening Classifiers ICML 2023
The Statistical Scope of Multicalibration ICML 2023
Superhuman Fairness ICML 2023
Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023
Reducing Sensitivity on Speaker Names for Text Generation from Dialogues ACL 2023
Risks and NLP Design: A Case Study on Procedural Document QA ACL 2023
Fair yet Asymptotically Equal Collaborative Learning ICML 2023
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models ACL 2023
Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children’s Fairy Tales ACL 2023
FAIRER: Fairness as Decision Rationale Alignment ICML 2023
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing ACL 2023
Speaking Multiple Languages Affects the Moral Bias of Language Models ACL 2023
Loss Balancing for Fair Supervised Learning ICML 2023