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Hansen Wang

1 accepted papers

2021

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation

ICLR 2021poster

Knowledge graphs (KGs) have helped neural models improve performance on various knowledge-intensive tasks, like question answering and item recommendation. By using attention over the KG, such KG-augmented models can also "explain" which KG information was most relevant for making a given prediction…