2 papers
cs.LG2025
SAMOSA: Sharpness Aware Minimization for Open Set Active learning
Young In Kim, Andrea Agiollo, Rajiv Khanna
Modern machine learning solutions require extensive data collection where labeling remains costly. To reduce this burden, open set active learning approaches aim to select informat…
cs.LG2023
Membership Privacy Risks of Sharpness Aware Minimization
Young In Kim, Andrea Agiollo, Pratiksha Agrawal +2
Optimization algorithms that seek flatter minima, such as Sharpness-Aware Minimization (SAM), are credited with improved generalization and robustness to noise. We ask whether such…