Dar, Yehuda

3 publications

ECML-PKDD 2024 How Much Training Data Is Memorized in Overparameterized Autoencoders? an Inverse Problem Perspective on Memorization Evaluation Koren Abitbul, Yehuda Dar

CVPR 2022 Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping Yeh-Chiang, Yehuda Dar, Richard Baraniuk, Micah Goldblum, Tom Goldstein

ICML 2020 Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors Yehuda Dar, Paul Mayer, Lorenzo Luzi, Richard Baraniuk