← Application Areas
Machine Learning › Application Areas ›

Fairness

3337 directly classified papers

Papers per year

Papers

Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision AAAI 2024
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said ACL 2024
Fairness without Demographics through Shared Latent Space-Based Debiasing AAAI 2024
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples AAAI 2024
A Sequentially Fair Mechanism for Multiple Sensitive Attributes AAAI 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NIPS 2024
Exploring the Emotional Dimension of French Online Toxic Content COLING 2024
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models EMNLP 2024
LLM generated responses to mitigate the impact of hate speech EMNLP 2024
Towards Optimal Subsidy Bounds for Envy-Freeable Allocations AAAI 2024
Proportional Representation in Metric Spaces and Low-Distortion Committee Selection AAAI 2024
REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024
Implications of Distance over Redistricting Maps: Central and Outlier Maps AAAI 2024
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024
An Empirical Study of Gendered Stereotypes in Emotional Attributes for Bangla in Multilingual Large Language Models ACL 2024
Irrelevant Alternatives Bias Large Language Model Hiring Decisions EMNLP 2024
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models EMNLP 2024
A Survey on Natural Language Counterfactual Generation EMNLP 2024
FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting AAAI 2024
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning AAAI 2024
Giving Control Back to Models: Enabling Offensive Language Detection Models to Autonomously Identify and Mitigate Biases EMNLP 2024
Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas EMNLP 2024
Mathematical Framework for Online Social Media Auditing JMLR 2024
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation AAAI 2024
Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process AAAI 2024