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Fairness

3,511 papers

Papers per year

251
692
'20
'25

Papers

Fair Secretaries with Unfair Predictions NIPS 2024
Localized Adaptive Risk Control NIPS 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks NIPS 2024
Fairness in Social Influence Maximization via Optimal Transport NIPS 2024
FairJob: A Real-World Dataset for Fairness in Online Systems NIPS 2024
Beyond Aesthetics: Cultural Competence in Text-to-Image Models NIPS 2024
Toxicity Detection for Free NIPS 2024
Fairness-Aware Estimation of Graphical Models NIPS 2024
Fairness and Efficiency in Online Class Matching NIPS 2024
Auditing Local Explanations is Hard NIPS 2024
Proportional Fairness in Non-Centroid Clustering NIPS 2024
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks NIPS 2024
SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation NIPS 2024
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices NIPS 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation NIPS 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NIPS 2024
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias NIPS 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NIPS 2024
Constrained Diffusion Models via Dual Training NIPS 2024
Mind the Graph When Balancing Data for Fairness or Robustness NIPS 2024
Should We Really Edit Language Models? On the Evaluation of Edited Language Models NIPS 2024
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models NIPS 2024
Group Robust Preference Optimization in Reward-free RLHF NIPS 2024
When is Multicalibration Post-Processing Necessary? NIPS 2024
Group-wise oracle-efficient algorithms for online multi-group learning NIPS 2024