Browse State-of-the-Art › Zero-Shot Out-of-Domain Detection
Zero-Shot Out-of-Domain Detection
1 paper with code · 0 benchmarks · 1 dataset archive 2025-07-28
Tasks for simultaneously learning few-shot In-Domain text classification and zero-shot Out-of-Domain detection on sentiment classification and intent classification.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
1 shown of 1 paper with code (1 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection27 Aug 2021 1 repository listedThe ability to detect Out-of-Domain (OOD) inputs has been a critical requirement in many real-world NLP applications.
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