92 citations · 164 across the 13 of their papers we have counts for
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cs.LG2020
Squared 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…
cs.CL2020★ 7 cited
Word Shape Matters: Robust Machine Translation with Visual Embedding
Haohan Wang, Peiyan Zhang, Eric P. Xing
Neural machine translation has achieved remarkable empirical performance over standard benchmark datasets, yet recent evidence suggests that the models can still fail easily dealin…
cs.CV2020★ 43 cited
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang, Haohan Wang, Eric P. Xing +1
Convolutional Neural Networks (CNN) conduct image classification by activating dominant features that correlated with labels. When the training and testing data are under similar d…