2021
Towards a robust experimental framework and benchmark for lifelong language learning
NeurIPS 2021poster
In lifelong learning, a model learns different tasks sequentially throughout its lifetime. State-of-the-art deep learning models, however, struggle to generalize in this setting and suffer from catastrophic forgetting of old tasks when learning new ones. While a number of approaches have been develo…