Attention Mechanisms Beyond Transformers

This chapter explores various attention mechanisms and their significance in machine learning. It discusses additive and multiplicative attention, hierarchical attention, and their applications in different contexts like visual and cross-modal attention. Advanced attention mechanisms, including dynamic and adaptive attention, are covered. Practical applications in image and video analysis, speech processing, and multimodal learning are provided, along with case studies and exercises.