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Open-World Class Discovery with Kernel Networks
We study an Open-World Class Discovery problem in which, given labeled t...
12/13/2020 ∙ by Zifeng Wang, et al. ∙
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Learn-Prune-Share for Lifelong Learning
In lifelong learning, we wish to maintain and update a model (e.g., a ne...
12/13/2020 ∙ by Zifeng Wang, et al. ∙
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Finding Influential Instances for Distantly Supervised Relation Extraction
Distant supervision has been demonstrated to be highly beneficial to enh...
09/17/2020 ∙ by Zifeng Wang, et al. ∙
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Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks
We propose a Healthcare Graph Convolutional Network (HealGCN) to offer d...
09/06/2020 ∙ by Zifeng Wang, et al. ∙
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Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
Counterfactual learning for dealing with missing-not-at-random data (MNA...
09/06/2020 ∙ by Zifeng Wang, et al. ∙
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On the Fairness of Randomized Trials for Recommendation With Heterogeneous Demographics and Beyond
Observed events in recommendation are consequence of the decisions made ...
01/25/2020 ∙ by Zifeng Wang, et al. ∙
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Less Is Better: Unweighted Data Subsampling via Influence Function
In the time of Big Data, training complex models on large-scale data set...
12/03/2019 ∙ by Zifeng Wang, et al. ∙
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Adaptive Nonparametric Variational Autoencoder
Clustering is used to find structure in unlabeled data by grouping simil...
06/07/2019 ∙ by Tingting Zhao, et al. ∙
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