2 papers
cs.LG2026
OT Score: An OT based Confidence Score for Prototype-Assisted Source Free Unsupervised Domain Adaptation
Yiming Zhang, Sitong Liu, Alex Cloninger
We address the computational and theoretical limitations of current distributional alignment methods for source-free unsupervised domain adaptation (SFUDA) using source class-mean…
cs.LG2025
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
Yiming Zhang, Chester Holtz, Gal Mishne +1
Learning with noisy labels remains challenging because over-parameterized networks memorize corrupted supervision. Meta-learning-based sample reweighting mitigates this by using a…