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Related Questions
- What are the key challenges that multi-task learning models face in capturing contextual information?
- How do attention mechanisms address the issue of feature overlap in multi-task learning?
- Can you provide an example of a real-world application where attention mechanisms significantly improved the performance of a multi-task learning model?
- What are some common techniques used to adapt attention mechanisms for different types of inputs, such as text, images, or time series data?
- How do attention mechanisms interact with other components of a multi-task learning model, such as the encoder and the decoder?
- What are some potential drawbacks or limitations of using attention mechanisms in multi-task learning models?
- Can you discuss the relationship between attention mechanisms and the concept of 'informed' vs. 'uninformed' attention in multi-task learning?
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