ReDS Lab
Responsible Data Science Lab @ Virginia Tech | AI Security & Privacy & More
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- preference-learning-with-rationales Public
This is the public repository for Data-Centric Human Preference Optimization with Rationales.
- WokeyTalky Public
- Forward-INF Public
- Woke-Pipeline Public
- Nash-Meta-Learning Public
Official implementation of "Fairness-Aware Meta-Learning via Nash Bargaining." We explore hypergradient conflicts in one-stage meta-learning and their impact on fairness. Our two-stage approach uses Nash bargaining to mitigate conflicts, enhancing fairness and model performance simultaneously.