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Related Questions
- How does multi-task learning differ from transfer learning, and what are the key advantages and disadvantages of each approach?
- Can you explain the concept of task alignment in multi-task learning, and how it affects model performance?
- What are some common issues that can arise when using multi-task learning with a large number of tasks, and how can they be addressed?
- How does the choice of task weighting scheme impact the performance of a multi-task learning model, and what are some common methods for selecting optimal weights?
- Can you discuss the role of regularization techniques in preventing overfitting in multi-task learning, and provide examples of effective regularization methods?
- What are some strategies for handling task-specific features and domain knowledge in multi-task learning, and how can they be integrated into the model?
- Can you explain the relationship between multi-task learning and meta-learning, and how can they be used in combination to improve model performance?
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