Papers with adaptive prototypical pseudo-labeling(APP

1 papers
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection (2023.findings-emnlp)

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Challenge: Existing methods for detecting out-of-domain (OOD) intents are hard to label . previous studies use labeled in-domain data to learn intent representations .
Approach: They propose a prototypical pseudo-labeling method for few-shot OOD detection . they propose 'protoOOD' framework and adaptive pseudo-labeled method .
Outcome: The proposed method is able to detect out-of-domain (OOD) intents from user queries.

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