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Related Questions
- What are the differences between Bayesian neural networks and Monte Carlo dropout for uncertainty estimation in active learning?
- How does the acquisition function in active learning impact the selection of uncertain samples?
- What is the role of ensembles in estimating uncertainty in active learning, and how do they compare to other methods?
- Can you explain the concept of epistemic uncertainty and how it is used in active learning?
- How does the choice of uncertainty metric (e.g. variance, entropy) affect the performance of active learning algorithms?
- What are some common techniques for estimating uncertainty in deep learning models, and how do they compare?
- Can you discuss the trade-offs between exploration and exploitation in active learning, and how uncertainty estimation can help balance these competing objectives?
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