Leveraging Sparse Linear Layers for Debuggable Deep Networks

Eric Wong, Shibani Santurkar, Aleksander Madry

Abstract: We show how fitting sparse linear models over learned deep feature representations can lead to more debuggable neural networks. These networks remain highly accurate while also being more amenable ...