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Related Questions
- What is the effect of out-of-distribution samples on the performance of active learning algorithms?
- How do different acquisition functions, such as uncertainty sampling and expected improvement, handle out-of-distribution samples?
- Can you explain the concept of 'calibration' in the context of acquisition functions and out-of-distribution samples?
- How do acquisition functions balance the trade-off between exploring new regions of the input space and avoiding out-of-distribution samples?
- What are some common techniques used to detect and handle out-of-distribution samples in active learning?
- How does the choice of acquisition function impact the robustness of the model to out-of-distribution samples?
- Can you discuss the relationship between acquisition function design and the specific characteristics of out-of-distribution samples?
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