Alternating updates for efficient transformers

Contemporary deep learning models have been remarkably successful in many domains, ranging from natural language to computer vision. Transformer neural networks (transformers) are a popular deep learning architecture that today comprise the foundation for most tasks in natural language processing and also are starting to extend to applications in other domains, such as computer vision, robotics, and autonomous driving. Moreover, they form the backbone …

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