271 citations · 899 across the 17 of their papers we have counts for
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cs.CL2019★ 19 cited
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
He He, Sheng Zha, Haohan Wang
Statistical natural language inference (NLI) models are susceptible to learning dataset bias: superficial cues that happen to associate with the label on a particular dataset, but…
cs.CV2019★ 271 cited
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang, Songwei Ge, Eric P. Xing +1
Despite their renowned predictive power on i.i.d. data, convolutional neural networks are known to rely more on high-frequency patterns that humans deem superficial than on low-fre…
cs.CV2019★ 43 cited
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Haohan Wang, Xindi Wu, Zeyi Huang +1
We investigate the relationship between the frequency spectrum of image data and the generalization behavior of convolutional neural networks (CNN). We first notice CNN's ability i…