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Most Neural Networks Are Almost Learnable


May 25, 2023
Amit Daniely, Nathan Srebro, Gal Vardi

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Reconstructing Training Data from Multiclass Neural Networks


May 05, 2023
Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Michal Irani

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Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization


Mar 02, 2023
Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro

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* 53 pages 

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The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks


Mar 02, 2023
Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro

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* 41 pages 

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Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Data Manifolds


Mar 01, 2023
Odelia Melamed, Gilad Yehudai, Gal Vardi

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Efficiently Learning Neural Networks: What Assumptions May Suffice?


Feb 15, 2023
Amit Daniely, Nathan Srebro, Gal Vardi

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* arXiv admin note: text overlap with arXiv:2101.08303 

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Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data


Oct 13, 2022
Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro, Wei Hu

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* 54 pages 

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On the Implicit Bias in Deep-Learning Algorithms


Aug 26, 2022
Gal Vardi

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Reconstructing Training Data from Trained Neural Networks


Jun 15, 2022
Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani

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On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias


May 18, 2022
Itay Safran, Gal Vardi, Jason D. Lee

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