Task-agnostic continual learning using online variational bayeswith fixed-point updates
Catastrophic forgetting is the notorious vulnerability of neural networks to the changes in the data distribution during learning. This phenomenon has long been considered a major obstacle for using learning agents in realistic continual learning settings. A large body of continual learning research...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MIT Press Journals
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |