Meta-learning empowers learning systems with the ability to acquire knowledge from multiple tasks, enabling faster adaptation and generalization to new tasks. This review provides a comprehensive ...

This study presents valuable computational findings on the neural basis of learning new motor memories and the savings using recurrent neural networks. The evidence supporting the claims of the ...

Adversarial examples have raised great concerns about the security of deep learning models. Substitute training makes it possible to conduct black-box substitute attacks in real-world scenarios where ...