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Related Questions
- How does data augmentation impact the robustness of a model to adversarial attacks?
- Can data augmentation introduce new biases or amplify existing ones in the training data?
- What are some techniques to detect and mitigate biases in augmented data?
- How does the quality of the original data affect the outcome of data augmentation?
- Can data augmentation improve generalizability by reducing overfitting?
- What are some common pitfalls to avoid when using data augmentation for bias reduction?
- How can data augmentation be used to improve fairness and equality in machine learning models?
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