Xindi Wu

activity

20192023

most citedHigh Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

43 citations · 43 across the 4 of their papers we have counts for

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Showing 2020Show all

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cs.LG2020

Squared $ℓ_{2}$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations

Haohan Wang, Zeyi Huang, Xindi Wu +1

Data augmentation is one of the most popular techniques for improving the robustness of neural networks. In addition to directly training the model with original samples and augmen…

Squared ℓ2​ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations

Squared $ℓ_{2}$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations