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Related Questions
- What are the benefits and drawbacks of selecting tasks with high similarity versus high diversity in related task selection?
- How can task similarity and diversity impact the performance and generalizability of a machine learning model?
- What are some strategies for balancing task similarity and diversity in related task selection to improve model performance and robustness?
- Can you provide examples of tasks with high similarity and high diversity, and how they might be used in related task selection?
- How does task similarity and diversity relate to the concept of transfer learning in machine learning?
- What are some common pitfalls to avoid when selecting tasks with high similarity or high diversity in related task selection?
- Can you discuss the role of task similarity and diversity in active learning and how they impact the selection of tasks for human annotation?
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