VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection

arXiv:2404.06217v1 Announce Type: new
Abstract: Out-of-distribution (OOD) detection plays a crucial role in ensuring the safety and reliability of deep neural networks in various applications. While there has been a growing focus on OOD detection in visual data, the field of textual OOD detection has received less attention. Only a few attempts have been made to directly apply general OOD detection methods to natural language processing (NLP) tasks, without adequately considering the characteristics of textual data. In this paper, we …

arxiv cs.cl detection distribution framework representation representation learning textual type