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Related Questions
- What are some common pitfalls in training AI models to handle out-of-distribution inputs?
- How do overfitting and underfitting impact the performance of AI models on out-of-distribution inputs?
- What are some techniques for regularizing AI models to improve their robustness to out-of-distribution inputs?
- How can we evaluate the performance of AI models on out-of-distribution inputs?
- What are some strategies for data augmentation to improve the robustness of AI models to out-of-distribution inputs?
- Can you explain the concept of 'adversarial examples' and how they relate to out-of-distribution inputs?
- What are some ways to incorporate domain adaptation techniques to improve the performance of AI models on out-of-distribution inputs?
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