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Related Questions
- What are some strategies to mitigate the problem of concept drift in transfer learning for incremental learning?
- How can we prevent catastrophic forgetting in transfer learning when dealing with changing data distributions?
- What are some techniques to update the weights of a pre-trained model to adapt to new concepts in incremental learning?
- What is the role of meta-learning in addressing the problem of concept drift in transfer learning?
- Can you explain the concept of 'new task learning' in the context of incremental learning and how it relates to catastrophic forgetting?
- What are some methods to regularize the weights of a pre-trained model to adapt to new tasks in incremental learning?
- How can we balance the trade-off between adapting to new concepts and preserving knowledge from previous tasks in incremental learning?
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