Learning from almost nothing: How neural networks survive heavy input corruption

Justin Tahmassebpur, Asadullah Bhuiyan, Hyejin Kim +1

Learning from imperfect data is a central theme in machine learning, connecting practical questions of robustness to fundamental questions of learnability. Here we examine attribut…