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Generalization of Scaled Deep ResNets in the Mean-Field Regime

The dataset used in the paper is a binary classification dataset, where the goal is to find a hypothesis (i.e., a ResNet used in this work) f : X → Y such that f (x; Θ) parameterized by Θ is a good approximation of the label y ∈ Y corresponding to a new sample x ∈ X.

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Cite this as

Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios G. Chrysos, Volkan Cevher (2024). Dataset: Generalization of Scaled Deep ResNets in the Mean-Field Regime. https://doi.org/10.57702/lw1bqay8

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Author	Yihang Chen
More Authors	Fanghui Liu Yiping Lu Grigorios G. Chrysos Volkan Cevher