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Found 3 papers, 2 papers with code
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
Effective out-of-distribution (OOD) detection is crucial for reliable machine learning models, yet most current methods are limited in practical use due to requirements like access to training data or intervention in training.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
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On Dataset Transferability in Active Learning for Transformers
We link the AL dataset transferability to the similarity of instances queried by the different PLMs and show that AL methods with similar acquisition sequences produce highly transferable datasets regardless of the models used.
ALANNO: An Active Learning Annotation System for Mortals
Supervised machine learning has become the cornerstone of today's data-driven society, increasing the need for labeled data.
