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Related Questions
- How does similarity in data distribution between tasks affect the performance of a multi-task learning model?
- What are the potential drawbacks of having tasks with high similarity in objectives in a multi-task learning setting?
- Can you explain the concept of 'task relationship' in multi-task learning and how it relates to similarity in objectives?
- How does the level of task similarity impact the ability of a multi-task learning model to learn transferable representations?
- What are some strategies for dealing with high similarity in tasks when using multi-task learning?
- How does task similarity affect the convergence of a multi-task learning model during training?
- Can you provide examples of real-world scenarios where tasks have high similarity in terms of data distribution or objectives?
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