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Related Questions
- What are the limitations of few-shot learning models in adapting to new tasks?
- How do meta-learning algorithms help few-shot learning models generalize to unseen tasks?
- What role does meta-training play in enabling few-shot learning models to learn from a few examples?
- Can few-shot learning models handle out-of-distribution tasks, and if so, what are the implications?
- What is the relationship between the number of training examples and the generalization ability of few-shot learning models?
- How do few-shot learning models handle task uncertainty and ambiguity in unseen tasks?
- What are the key hyperparameters that affect the generalization ability of few-shot learning models?
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