A 14-Author Paper Tries to Make Deep Learning Theory a Science
A 14-author perspective paper posted to arXiv on April 23 argues that deep learning theory is starting to look less…
mechanistic interpretability
The study of how neural networks process information internally by identifying the circuits and components responsible for their outputs.