Yuliya Molchanova

Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation

Test-time data augmentation—averaging the predictions of a machine learning model across multiple augmented samples of data—is a widely used technique that improves the predictive performance. While many advanced learnable data augmentation techniques have emerged in recent years, they are focused o…