Memory Efficient Continual Learning with Transformers

Beyza Ermis, Giovanni Zappella, Martin Wistuba +2

In many real-world scenarios, data to train machine learning models becomes available over time. Unfortunately, these models struggle to continually learn new concepts without forg…