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 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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10092577/ |