3260 papers • 126 benchmarks • 313 datasets
Tasks for simultaneously learning few-shot In-Domain text classification and zero-shot Out-of-Domain detection on sentiment classification and intent classification.
(Image credit: Papersgraph)
These leaderboards are used to track progress in zero-shot-out-of-domain-detection-4
No benchmarks available.
Use these libraries to find zero-shot-out-of-domain-detection-4 models and implementations
No subtasks available.
Experimental results show that the proposed ProtoInfoMax method can substantially improve performance up to 20% for OOD detection in low resource settings of text classification, and is less prone to typical overconfidence errors of Neural Networks, leading to more reliable prediction results.
Adding a benchmark result helps the community track progress.