Abstract: Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. An adversarial example is a sample ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...

The acquisition method records company buyouts, merging assets and liabilities. It includes all costs incurred, integrating them into financial statements. Investors analyze these reports to assess ...

Teaching techniques refer to the diverse array of strategies and methodologies employed by educators to engage students and facilitate effective learning experiences. What are some examples of ...

I've been coding in Java for 4 years, eager to learn new tech and tackle growth-focused tasks. In the modern world of information security, ensuring the confidentiality of passwords and other ...

Method acting is a style of performance that urges actors to embody their characters thoroughly—not just while onstage or on set, but often extending into their everyday lives. The technique, ...

Abstract: Adversarial examples have been highlighted as a serious threat to various deep neural networks. The defense against adversarial examples is extremely urgent. This paper proposes an efficient ...