Unsupervised Continual Learning Using Cross-Level Discrimination and Evidential Pseudo Out-of-Distribution Detection Along With Gradient Projected Hard Attention
Catastrophic forgetting is a prominent challenge in machine learning, where models forget previously learned knowledge when exposed to new information. Supervised Continual Learning (SCL) addresses this by adapting to changing data distributions using labeled data. However, practical limitations ari...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10614158/ |
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