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Related Questions
- What are the common techniques used in data augmentation for improving model performance on out-of-domain data?
- Can you explain the relationship between data augmentation and model robustness on out-of-domain data?
- How does data augmentation impact the generalizability of a model to unseen data?
- What are the potential risks of over-augmenting data and how can they be mitigated?
- Can you discuss the role of data augmentation in transfer learning and its impact on out-of-domain data?
- How does data augmentation affect the model's ability to adapt to changes in the data distribution over time?
- What are some best practices for implementing data augmentation to improve model performance on out-of-domain data?
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