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Yehuda Dar

TL-PCA: Transfer Learning of Principal Component Analysis

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Oct 14, 2024
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How Does Perfect Fitting Affect Representation Learning? On the Training Dynamics of Representations in Deep Neural Networks

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May 27, 2024
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Recovery of Training Data from Overparameterized Autoencoders: An Inverse Problem Perspective

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Oct 04, 2023
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Overfreezing Meets Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks

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Nov 20, 2022
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Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective

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Mar 15, 2022
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A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

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Sep 06, 2021
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Double Descent and Other Interpolation Phenomena in GANs

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Jun 07, 2021
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Transfer Learning Can Outperform the True Prior in Double Descent Regularization

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Mar 09, 2021
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Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding

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Oct 08, 2020
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Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks

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Jun 12, 2020
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