3 papers
cs.LG2025
What happens when generative AI models train recursively on each others' outputs?
Hung Anh Vu, Galen Reeves, Emily Wenger
The internet serves as a common source of training data for generative AI (genAI) models but is increasingly populated with AI-generated content. This duality raises the possibilit…
cs.LG2025
Causes and Consequences of Representational Similarity in Machine Learning Models
Zeyu Michael Li, Hung Anh Vu, Damilola Awofisayo +1
Numerous works have noted similarities in how machine learning models represent the world, even across modalities. Although much effort has been devoted to uncovering properties an…
cs.LG2024
Fast & Fair: Efficient Second-Order Robust Optimization for Fairness in Machine Learning
Allen Minch, Hung Anh Vu, Anne Marie Warren
This project explores adversarial training techniques to develop fairer Deep Neural Networks (DNNs) to mitigate the inherent bias they are known to exhibit. DNNs are susceptible to…