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Found 2 papers, 1 papers with code
Overcoming Conflicting Data when Updating a Neural Semantic Parser
In this paper, we explore how to use a small amount of new data to update a task-oriented semantic parsing model when the desired output for some examples has changed.
Defending Malware Classification Networks Against Adversarial Perturbations with Non-Negative Weight Restrictions
There is a growing body of literature showing that deep neural networks are vulnerable to adversarial input modification.
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