Yehuda Dar
Orcid: 0000-0003-3737-5458
According to our database1,
Yehuda Dar
authored at least 24 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression.
SIAM J. Math. Data Sci., 2024
How Does Perfect Fitting Affect Representation Learning? On the Training Dynamics of Representations in Deep Neural Networks.
CoRR, 2024
2023
Recovery of Training Data from Overparameterized Autoencoders: An Inverse Problem Perspective.
CoRR, 2023
2022
Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks.
SIAM J. Math. Data Sci., December, 2022
Overfreezing Meets Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks.
CoRR, 2022
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Benefiting from Duplicates of Compressed Data: Shift-Based Holographic Compression of Images.
J. Math. Imaging Vis., 2021
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning.
CoRR, 2021
CoRR, 2021
2020
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding.
CoRR, 2020
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
J. Math. Imaging Vis., 2019
Proceedings of the 27th European Signal Processing Conference, 2019
2018
PhD thesis, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
2016
IEEE Trans. Image Process., 2016
Proceedings of the 2016 Picture Coding Symposium, 2016
2014
CoRR, 2014