In-Context Deep Learning via Transformer Models
This paper investigates the transformer’s capability for in-context learning (ICL) to simulate the training process of deep models, providing a provable explicit construction.
Deep Learning
This paper investigates the transformer’s capability for in-context learning (ICL) to simulate the training process of deep models, providing a provable explicit construction.