Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP

no code implementations • 5 Aug 2021 • Stefan Larson, Navtej Singh, Saarthak Maheshwari, Shanti Stewart, Uma Krishnaswamy

To be robust enough for widespread adoption, document analysis systems involving machine learning models must be able to respond correctly to inputs that fall outside of the data distribution that was used to generate the data on which the models were trained.

Document Classification Out-of-Distribution Generalization +1