Conditional neural processes (CNPs) are a flexible and efficient family ...
This work explores the utility of explicit structure for representation
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To highlight the challenges of achieving representation disentanglement ...
In this paper we focus on unsupervised representation learning and propo...
Variational Autoencoders (VAEs) are known to suffer from learning
uninfo...
We present a novel method for mapping unrestricted text to knowledge gra...
Word embedding techniques heavily rely on the abundance of training data...
Rare word representation has recently enjoyed a surge of interest, owing...
We propose a methodology that adapts graph embedding techniques (DeepWal...