Meta-Learning Based Tasks Similarity Representation for Cross Domain Lifelong Learning
Deep neural networks perform better in most specific single tasks than humans, but it is hard to handle a sequence of new tasks from different domains.The adi-2 pro fs r black edition 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 pre