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Related Questions
- How does transfer learning adapt to new tasks and domains?
- What are the key factors that influence the effectiveness of transfer learning in mitigating out-of-distribution tasks?
- Can you explain the concept of domain adaptation in the context of transfer learning?
- How does pre-training on a large dataset impact a model's ability to generalize to new tasks?
- What are some common techniques used to fine-tune a pre-trained model for a specific task?
- How does transfer learning help to reduce the need for large amounts of labeled data for new tasks?
- What are the potential drawbacks of relying solely on transfer learning for mitigating out-of-distribution tasks?
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