Interview with Haggai Maron – #ICML2020 award winner

Haggai Maron, Or Litany, Gal Chechik and Ethan Fetaya received an Outstanding Paper Award at ICML2020 for their work On Learning Sets of Symmetric Elements. Here, lead author Haggai tells us more about their research, how he goes about solving problems, and plans for future work in this area. We target learning problems in which the input is a set of images or other structured objects like graphs. The challenge here is building a learning model that does not pay attention to the order of the elements and at the same time respects their structure. For example: imagine you have several photos of a scene on your smartphone, and you want to select a single high-quality photo.