Latest Articles for Distribution Shifts

A new method enhances machine learning under shifting conditions.

A look at the challenges of distribution shift and its impact on predictions.

Learn how test-time adaptation helps machine learning models face unexpected data changes.

This article explores how a simple transformer learns the one-nearest neighbor prediction method.

Learn to navigate the challenges of shifting data in prediction models.

Innovative methods improve understanding of emotions across different communication forms.

TARDIS helps models identify unfamiliar data in satellite imagery for better accuracy.

Learn how CONDA helps AI adapt and remain interpretable in changing conditions.

A new method is transforming how medical images are created for better healthcare.