213 citations · 219 across the 6 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 213 cited
Parameterized Explainer for Graph Neural Network
Dongsheng Luo, Wei Cheng, Dongkuan Xu +4
Despite recent progress in Graph Neural Networks (GNNs), explaining predictions made by GNNs remains a challenging open problem. The leading method independently addresses the loca…
cs.CL2020
Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification
Xin Dong, Yaxin Zhu, Yupeng Zhang +4
In cross-lingual text classification, one seeks to exploit labeled data from one language to train a text classification model that can then be applied to a completely different la…
stat.ML2020★ 2 cited
Longitudinal Deep Kernel Gaussian Process Regression
Junjie Liang, Yanting Wu, Dongkuan Xu +1
Gaussian processes offer an attractive framework for predictive modeling from longitudinal data, i.e., irregularly sampled, sparse observations from a set of individuals over time.…