Papers with zero-shot OOD detection

1 papers
Out-of-Domain Detection for Low-Resource Text Classification Tasks (D19-1)

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Challenge: Existing methods for OOD detection and ID classification tasks require massive amounts of ID labeled data and no OOD labeles.
Approach: They propose to use OOD-resistant Prototypical Network to detect OOD cases with limited in-domain (ID) training data to solve this task.
Outcome: The proposed solution outperforms state-of-the-art methods in zero-shot OOD detection task while maintaining a competitive performance on ID classification task.

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