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Fairness

3337 directly classified papers

Papers per year

Papers

Supervised Algorithmic Fairness in Distribution Shifts: A Survey IJCAI 2024
An Investigation of Group versus Individual Fairness in Perceptually Fair Speech Emotion Recognition INTERSPEECH 2024
Proportional Aggregation of Preferences for Sequential Decision Making AAAI 2024
Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All IJCAI 2024
Online Combinatorial Optimization with Group Fairness Constraints IJCAI 2024
Monoculture in Matching Markets NIPS 2024
Unintended Bias Detection and Mitigation in Misogynous Memes EACL 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning IJCAI 2024
UnMASKed: Quantifying Gender Biases in Masked Language Models through Linguistically Informed Job Market Prompts EACL 2024
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning IJCAI 2024
Fairness in Serving Large Language Models OSDI 2024
Robust Counterfactual Explanations in Machine Learning: A Survey IJCAI 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning NIPS 2024
ConStat: Performance-Based Contamination Detection in Large Language Models NIPS 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NIPS 2024
Auditing Local Explanations is Hard NIPS 2024
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models NIPS 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation NIPS 2024
Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing NAACL 2024
Should We Really Edit Language Models? On the Evaluation of Edited Language Models NIPS 2024
Likelihood-based Mitigation of Evaluation Bias in Large Language Models ACL 2024
Group Fairness in Multilingual Speech Recognition Models NAACL 2024
Localized Adaptive Risk Control NIPS 2024
HateModerate: Testing Hate Speech Detectors against Content Moderation Policies NAACL 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks NIPS 2024