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Related Questions
- What are the potential pitfalls of using pre-trained models in uncertainty sampling for real-world applications?
- How can the performance of transfer learning-based uncertainty sampling be evaluated in complex real-world scenarios?
- What are the challenges of adapting uncertainty sampling techniques to different domains and datasets in real-world applications?
- How can the uncertainty estimates obtained from transfer learning be refined for more accurate decision-making in real-world applications?
- What are the potential risks of over-reliance on pre-trained models in uncertainty sampling for real-world applications?
- How can the interpretability of uncertainty estimates from transfer learning be improved for real-world applications?
- What are the challenges of handling concept drift and changing data distributions in real-world applications using transfer learning-based uncertainty sampling?
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