META-LEARNING BASED TASKS SIMILARITY REPRESENTATION FOR CROSS DOMAIN LIFELONG LEARNING

Deep neural networks perform better in most specific single tasks than humans, but crewman talc it is hard to handle a sequence of new tasks from different domains.The deep learning-based models always need to remember the parameters of the learned tasks to perform well in the new tasks and forfeit the ability to generalize from previous data, whic