Adversarial training using meta-learning for BERT

Adversarial training using meta-learning for BERT

Deep learning is currently the most successful method of semantic analysis in natural language processing. However, in recent years, many variants of carefully crafted inputs designed to cause misclassification, known as adversarial attacks, have been engineered with tremendous success. One well-...

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書目詳細資料
主要作者:	Low, Timothy Jing Haen
其他作者:	Joty Shafiq Rayhan
格式:	Final Year Project
語言:	English
出版:	Nanyang Technological University 2022
主題:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
在線閱讀:	https://hdl.handle.net/10356/156635
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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