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Related Questions
- How does task clustering in multi-task learning help alleviate the problem of overfitting?
- What are the benefits of clustering related tasks in multi-task learning, and how does it impact model performance?
- Can you provide examples of tasks that are commonly clustered together in multi-task learning, and why?
- How does the choice of clustering algorithm impact the performance of multi-task learning models?
- What is the relationship between task similarity and diversity in multi-task learning, and how does clustering help balance these two factors?
- Can you explain the concept of 'hardness' in task clustering, and how it relates to the performance of multi-task learning models?
- How can task clustering be used to improve the generalizability of multi-task learning models to new, unseen tasks?
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