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20222026
most citedA Kernel Perspective of Skip Connections in Convolutional Networks

3 citations · 3 across the 8 of their papers we have counts for

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cs.LG2023

Generalization in Kernel Regression Under Realistic Assumptions

Daniel Barzilai, Ohad Shamir

It is by now well-established that modern over-parameterized models seem to elude the bias-variance tradeoff and generalize well despite overfitting noise. Many recent works attemp…

cs.LG2023

Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum

Amnon Geifman, Daniel Barzilai, Ronen Basri +1

Wide neural networks are biased towards learning certain functions, influencing both the rate of convergence of gradient descent (GD) and the functions that are reachable with GD i…