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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2 papers · 1 filter

cs.LG2022

Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation

Haohan Wang, Zeyi Huang, Xindi Wu +1

Data augmentation has been proven to be an effective technique for developing machine learning models that are robust to known classes of distributional shifts (e.g., rotations of…

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…

Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation

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