Zero-Shot Out-of-Domain Detection
1 papers with code • 0 benchmarks • 1 datasets
Tasks for simultaneously learning few-shot In-Domain text classification and zero-shot Out-of-Domain detection on sentiment classification and intent classification.
Benchmarks
These leaderboards are used to track progress in Zero-Shot Out-of-Domain Detection
Pano3D
Most implemented papers
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
inimah/protoinfomax
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Findings (EMNLP) 2021
The ability to detect Out-of-Domain (OOD) inputs has been a critical requirement in many real-world NLP applications.
