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Related Questions
- How can data augmentations help to reduce biases in negative examples?
- What are some methods to identify and remove biases from data sampling methods?
- Can you describe the concept of debiasing data and how it applies to negative examples?
- How can domain adaptation techniques help to reduce biases in negative examples from imbalanced datasets?
- What is the relationship between sampling bias and performance on out-of-distribution examples?
- Can you discuss the importance of diversity in the negative class and how it affects the performance of a model?
- What are some strategies to mitigate the impact of sampling bias on downstream tasks such as object detection and image classification?
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