Adversarial Self-Supervised Learning for Out-of-Domain Detection

Zhiyuan Zeng; Keqing He; Yuanmeng Yan; Hong Xu; Weiran Xu

doi:10.18653/v1/2021.naacl-main.447

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JOURNAL ARTICLE

Adversarial Self-Supervised Learning for Out-of-Domain Detection

Zhiyuan Zeng Keqing He Yuanmeng Yan Hong Xu Weiran Xu

Year: 2021 Pages: 5631-5639

DOI: 10.18653/v1/2021.naacl-main.447

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Abstract

Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.

Keywords:

Adversarial system Computer science Domain (mathematical analysis) Artificial intelligence Natural language processing Computational linguistics Mathematics

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3.67

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0.94

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Topics

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Adversarial Self-Supervised Learning for Out-of-Domain Detection

Abstract

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Citation History

Topics

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