Continual Learning with Query-Only Attention

A new approach to continual learning has been proposed, focusing on a query-only attention mechanism that simplifies the traditional transformer architecture. This innovation is significant because it helps address the challenges of learning from a continuous stream of data without repeating data points, which can lead to loss of information and performance. By discarding keys and values while maintaining essential features, this method shows promise in improving learning efficiency and reducing the risk of catastrophic forgetting, making it a valuable advancement in the field.