Attention Mechanisms in Neural Networks: Studying attention mechanisms in neural networks and their applications in focusing on relevant information for improved performance
Keywords:
Attention mechanisms, Neural networks, Machine learningAbstract
Attention mechanisms in neural networks have emerged as powerful tools for focusing on relevant information in a given context, enabling models to achieve state-of-the-art performance in various tasks. This paper provides a comprehensive overview of attention mechanisms, including their types, architectures, and applications. We discuss the theoretical foundations of attention mechanisms, their role in enhancing model interpretability, and their application in natural language processing, computer vision, and other domains. Furthermore, we examine recent advancements and challenges in attention mechanisms, highlighting future research directions.
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