A new class-incremental learning framework called DARE-IDS uses diversity-aware replay exemplars to help intrusion detection ...
Caltech researchers have developed an innovative algorithm that allows neural networks to be updated with new information without losing previously acquired knowledge, mimicking the flexibility of ...
The model consists of multiple experts with lateral connections. For each new task, a new expert is initialized and trained on the current task dataset. Then the new expert is compared with previous ...
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