Preserving knowledge during learning
Humans and non-human animals live and learn in a continuous stream of information, and rarely experience catastrophic interference between currently and previously acquired knowledge. In contrast, artificial neural networks suffer from catastrophic forgetting and typically remain static once trained...
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Format: | Thesis |
Language: | English |
Published: |
2024
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