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Related Questions
- Can domain adaptation techniques such as adversarial training or multi-task learning improve a model's performance on out-of-distribution data?
- How does domain adaptation impact a model's ability to generalize to unseen data?
- Can transfer learning be used to adapt a model to new domains and improve its recall?
- What are some common challenges when applying domain adaptation to improve a model's recall on out-of-distribution data?
- Can domain adaptation be used to mitigate the issue of catastrophic forgetting when adapting a model to new domains?
- How does the choice of domain adaptation technique affect a model's performance on out-of-distribution data?
- Can domain adaptation be used to improve a model's recall on out-of-distribution data by learning a more general representation of the data?
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