271 citations · 899 across the 17 of their papers we have counts for
17 papers
Tradeoffs of Linear Mixed Models in Genome-wide Association Studies
Haohan Wang, Bryon Aragam, Eric Xing
Motivated by empirical arguments that are well-known from the genome-wide association studies (GWAS) literature, we study the statistical properties of linear mixed models (LMMs) a…
Intrinsic ferroelectricity in Y-doped HfO2 thin films
Yu Yun, Pratyush Buragohain, Ming Li +10
Ferroelectric HfO2-based materials hold great potential for widespread integration of ferroelectricity into modern electronics due to their robust ferroelectric properties at the n…
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…
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…
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…
What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks
Haohan Wang, Da Sun, Eric P. Xing
Nature language inference (NLI) task is a predictive task of determining the inference relationship of a pair of natural language sentences. With the increasing popularity of NLI,…