#data-augmentation tag

Data science

ADA Outperforms ERM and Competes with C-Mixup in In-Distribution Generalization Tasks | HackerNoon

Anchor Data Augmentation (ADA) improves in-distribution generalization compared to existing methods, leading to better performance in various datasets.

Data science

Testing ADA on Synthetic and Real-World Data | HackerNoon

Anchor data augmentation improves prediction accuracy and preserves data structure, critical for machine learning model performance.

Data science

The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization | HackerNoon

Data augmentation improves model generalization but may introduce class-specific biases that affect accuracy inconsistent across datasets.

Data science

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Abstract and Intro | HackerNoon

Data augmentation can improve model generalization but may unevenly introduce class-specific biases that need careful consideration.

Data science

Class-specific Bias in Image Data Augmentation: Data Augmentation Robustness Scouting | HackerNoon

Data Augmentation Robustness Scouting optimizes model performance by analyzing augmentation intensity's effects on accuracy and bias.

Data science

ADA: A Powerful Data Augmentation Technique for Improved Regression Robustness | HackerNoon

Anchor Data Augmentation (ADA) effectively enhances data robustness for regression tasks, particularly in scenarios with limited data availability.

Data science

ADA Outperforms ERM and Competes with C-Mixup in In-Distribution Generalization Tasks | HackerNoon

Anchor Data Augmentation (ADA) improves in-distribution generalization compared to existing methods, leading to better performance in various datasets.

Data science

Testing ADA on Synthetic and Real-World Data | HackerNoon

Anchor data augmentation improves prediction accuracy and preserves data structure, critical for machine learning model performance.

Data science

The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization | HackerNoon

Data augmentation improves model generalization but may introduce class-specific biases that affect accuracy inconsistent across datasets.

Data science

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Abstract and Intro | HackerNoon

Data augmentation can improve model generalization but may unevenly introduce class-specific biases that need careful consideration.

Data science

Class-specific Bias in Image Data Augmentation: Data Augmentation Robustness Scouting | HackerNoon

Data Augmentation Robustness Scouting optimizes model performance by analyzing augmentation intensity's effects on accuracy and bias.

Data science

ADA: A Powerful Data Augmentation Technique for Improved Regression Robustness | HackerNoon

Anchor Data Augmentation (ADA) effectively enhances data robustness for regression tasks, particularly in scenarios with limited data availability.

more#machine-learning

Medicine

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Appendices A-L | HackerNoon

Data augmentation can improve model performance but may cause bias, leading to varied class accuracy.

#image-classification

Data science

The Specifics Of Data Affect Augmentation-Induced Bias | HackerNoon

Excessive data augmentation can induce significant bias in model performance, differentiating among various data classes.

Artificial intelligence

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Conclusion and Limitation | HackerNoon

Data augmentation induces class-specific biases across various datasets, necessitating a nuanced understanding and potential architectural strategies for mitigation.

Data science

The Specifics Of Data Affect Augmentation-Induced Bias | HackerNoon

Excessive data augmentation can induce significant bias in model performance, differentiating among various data classes.