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Related Questions
- What are some common techniques used to detect out-of-distribution inputs in AI models?
- How do anomaly detection algorithms help identify out-of-distribution inputs?
- What is the role of uncertainty estimation in detecting out-of-distribution inputs?
- Can you explain the concept of calibration and its importance in handling out-of-distribution inputs?
- How do ensemble methods help improve the robustness of AI models to out-of-distribution inputs?
- What is the difference between robustness and out-of-distribution generalization in AI models?
- Can you discuss some techniques for handling out-of-distribution inputs, such as data augmentation and regularization?
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