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Related Questions
- What are the key differences between multi-task learning and transfer learning in machine learning?
- Can you explain how multi-task learning can improve the generalizability of models across different tasks?
- How does multi-task learning handle the challenge of task interference and how can it be mitigated?
- What are some common applications of multi-task learning in real-world scenarios?
- How does multi-task learning compare to meta-learning in terms of its ability to adapt to new tasks?
- Can you provide examples of how multi-task learning can be used to improve the performance of neural networks?
- What are the potential drawbacks of using multi-task learning, and how can they be addressed?
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