Adversarial training and its many variants substantially improve deep ne...
Generative adversarial networks (GANs) have gained increasing popularity...
Zero-shot learning (ZSL) has received extensive attention recently espec...
Zero-Shot Learning (ZSL) has received extensive attention and successes ...
Deep Neural Networks (DNNs) are widely applied in a wide range of usecas...
Graph node embedding aims at learning a vector representation for all no...
The robustness of deep models to adversarial attacks has gained signific...
Graph embedding is a central problem in social network analysis and many...
The cardinality constraint is an intrinsic way to restrict the solution
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