It seems like a lot of high-impact machine learning research has recently involved work in image or text domains (or perhaps this is mostly what I’m exposed to because I read a lot of deep network papers). Are people here familiar with high-impact work/papers outside of these domains? Do you think the work in these areas is actually less frequent or impactful, or is that perhaps a perceptual bias due to the popularity of things like deep network approaches?