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Related Questions
- How does multi-task learning differ from transfer learning in terms of learning multiple tasks simultaneously?
- Can you explain the concept of shared weights in multi-task learning and how it contributes to faster adaptation?
- What are the key challenges in adapting multi-task learning to a new task, and how can they be overcome?
- How does multi-task learning leverage the knowledge gained from one task to improve performance on another task?
- What is the role of regularization in multi-task learning, and how does it impact the learning process?
- Can multi-task learning be used to adapt to a new task with a different domain or dataset?
- How does multi-task learning compare to meta-learning in terms of adapting to new tasks?
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