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Related Questions
- What are the key differences between few-shot learning and traditional machine learning approaches?
- How does the quality of the few-shot learning dataset affect the model's ability to generalize to new tasks?
- Can you explain the concept of 'catastrophic forgetting' in few-shot learning and how to mitigate it?
- What are some common methods for evaluating the performance of few-shot learning models on out-of-distribution data?
- How does the size of the few-shot learning dataset impact the model's ability to adapt to new tasks?
- Can you discuss the role of data augmentation in improving the quality of few-shot learning datasets?
- What are some potential pitfalls to avoid when collecting and preprocessing data for few-shot learning models?
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