Search Results for author: Vanessa Yan

Found 4 papers, 1 papers with code

Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains

no code implementations17 Sep 2021 Irene Li, Vanessa Yan, Dragomir Radev

Our novel model consists of a variational graph autoencoder (VGAE) and a domain discriminator.

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Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders

no code implementations ACL 2021 Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir Radev

For example, one may be an expert in the natural language processing (NLP) domain but want to determine the best order to learn new concepts in an unfamiliar Computer Vision domain (CV).

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