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Comparing Methods for Bias Mitigation in Graph Neural Networks
Comparing Methods for Bias Mitigation in Graph Neural Networks
Arxiv
0+阅读 · 3月28日
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination
Arxiv
0+阅读 · 3月28日
A Deep Reinforcement Learning-based Approach for Adaptive Handover Protocols
A Deep Reinforcement Learning-based Approach for Adaptive Handover Protocols
Arxiv
0+阅读 · 3月27日
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
Arxiv
0+阅读 · 3月27日
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy
Arxiv
0+阅读 · 3月26日
FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query Refinement
Arxiv
0+阅读 · 3月27日
Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrieval
Arxiv
0+阅读 · 3月27日
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
Arxiv
0+阅读 · 3月16日
Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models
Arxiv
0+阅读 · 3月11日
Empirical Evaluation and Scalability Analysis of Proof of Team Sprint (PoTS): Reward Fairness, Energy Efficiency, and System Stability
Arxiv
0+阅读 · 3月25日
Multi-Output Distributional Fairness via Post-Processing
Arxiv
0+阅读 · 3月20日
An Evaluation Framework for the FAIR Assessment tools in Open Science
Arxiv
0+阅读 · 3月20日
Implementing Fairness in AI Classification: The Role of Explainability
Arxiv
0+阅读 · 3月24日
Global Group Fairness in Federated Learning via Function Tracking
Arxiv
0+阅读 · 3月19日
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles
Arxiv
0+阅读 · 3月20日
参考链接
父主题
AI技术研究机构
子主题
Laurens van der Maaten
Ser-Nam Lim
Dhruv Mahajan
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