Concept Learning with Energy Based Models ( Paper Explained)

This is a hard paper Energyfunctions are typically a mere afterthought in current machine learning. A core function of the Energy its smoothness is usually not exploited at inference time. This paper takes a stab at it. Inferring concepts, world states, and attention masks via gradient descent on a learned energy function leads to an interesting framework with many possibilities. Paper: Blog: Videos: htt