Out-of-Distribution Generalization in Text Classification: Past, Present, and Future

no code implementations • 23 May 2023 • Linyi Yang, Yaoxiao Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang

Machine learning (ML) systems in natural language processing (NLP) face significant challenges in generalizing to out-of-distribution (OOD) data, where the test distribution differs from the training data distribution.

Out-of-Distribution Generalization text-classification +1