ADA's Impact on Out-of-Distribution Robustness | HackerNoonADA enhances model robustness against out-of-distribution data by preserving crucial information during augmentation.
A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Abstract and Intro | HackerNoonData augmentation can improve model generalization but may unevenly introduce class-specific biases that need careful consideration.
A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Appendices A-L | HackerNoonData augmentation can improve model performance but may cause bias, leading to varied class accuracy.
ADA's Impact on Out-of-Distribution Robustness | HackerNoonADA enhances model robustness against out-of-distribution data by preserving crucial information during augmentation.
A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Abstract and Intro | HackerNoonData augmentation can improve model generalization but may unevenly introduce class-specific biases that need careful consideration.
A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Appendices A-L | HackerNoonData augmentation can improve model performance but may cause bias, leading to varied class accuracy.