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Related Questions
- How does multi-task learning reduce the risk of overfitting in neural networks, and can you provide a real-world example?
- In NLP, what are some common natural language tasks that can benefit from multi-task learning?
- Can you provide an example of a self-supervised multi-task learning approach for image classification tasks?
- How does transfer learning, which is closely related to multi-task learning, enable a model to learn generalizable features in one domain and apply them to another?
- What are some challenges of multi-task learning, especially when tasks are highly varying or complex, and how can these be addressed?
- In computer vision, can you describe how multi-task learning can enhance the robustness of segmentation models?
- How do you balance the trade-offs between learning multiple tasks and the increased complexity of models in multi-task learning?
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