Forget About Catastrophic Forgetting: Google’s Continual HyperTransformer Enables Efficient Continual Few-Shot Learning

Continual few-shot learning techniques enable AI models to learn from a continuous stream of tasks described by a small set of samples without forgetting their previously learned information. This learning paradigm is beneficial in real-world applications such as industrial robotics, where…