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Overfreezing Meets Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks


Nov 20, 2022
Yehuda Dar, Lorenzo Luzi, Richard G. Baraniuk

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


Mar 15, 2022
Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping Yeh-Chiang, Yehuda Dar, Richard Baraniuk, Micah Goldblum, Tom Goldstein

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* To appear in CVPR 2022 

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


Sep 06, 2021
Yehuda Dar, Vidya Muthukumar, Richard G. Baraniuk

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Double Descent and Other Interpolation Phenomena in GANs


Jun 07, 2021
Lorenzo Luzi, Yehuda Dar, Richard Baraniuk

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Transfer Learning Can Outperform the True Prior in Double Descent Regularization


Mar 09, 2021
Yehuda Dar, Richard G. Baraniuk

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Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding


Oct 08, 2020
Veronica Corona, Yehuda Dar, Carola-Bibiane Schönlieb

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Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks


Jun 12, 2020
Yehuda Dar, Richard G. Baraniuk

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Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors


Feb 25, 2020
Yehuda Dar, Paul Mayer, Lorenzo Luzi, Richard G. Baraniuk

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Postprocessing of Compressed Images via Sequential Denoising


Mar 18, 2016
Yehuda Dar, Alfred M. Bruckstein, Michael Elad, Raja Giryes

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* Submitted to IEEE Transactions on Image Processing 

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Motion-Compensated Coding and Frame-Rate Up-Conversion: Models and Analysis


Apr 12, 2014
Yehuda Dar, Alfred M. Bruckstein

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