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Fairness

796 directly classified papers

Papers per year

Papers

Fairness-Aware Estimation of Graphical Models NIPS 2024
When is Multicalibration Post-Processing Necessary? NIPS 2024
Interactive Human-Centric Bias Mitigation AAAI 2024
Fair Secretaries with Unfair Predictions NIPS 2024
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NIPS 2024
Mixed Fair Division: A Survey AAAI 2024
Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024
Discovering and Mitigating Visual Biases through Keyword Explanation CVPR 2024
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment AAAI 2024
Temporal Fairness in Multiwinner Voting AAAI 2024
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints AAAI 2024
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing AAAI 2024
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024
Fair and Optimal Prediction via Post-Processing AAAI 2024
Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective NIPS 2024
Auditing Fairness under Unobserved Confounding AISTATS 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024
On the Vulnerability of Fairness Constrained Learning to Malicious Noise AISTATS 2024
Fair Allocation of Items in Multiple Regions AAAI 2024
Referee-Meta-Learning for Fast Adaptation of Locational Fairness AAAI 2024
FairRR: Pre-Processing for Group Fairness through Randomized Response AISTATS 2024
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias AISTATS 2024
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification ACL 2024
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024