Physicists at Harvard University have created a simplified, physics-inspired mathematical model to better understand how neural networks learn without overfitting. The model, based on ridge regression ...
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...