Deep saliency: What is learnt by a deep network about saliency? Sen He, Nicolas Pugeault

Evolutionary Visual Analysis of Deep Neural Networks Wen Zhong, Cong Xie, Yuan Zhong, Yang Wang, Wei Xu, Shenghui Cheng, Klaus Mueller

SmoothGrad: removing noise by adding noise Daniel Smilkov, Nikhil Thorat, Been Kim, Fernanda Viegas, Martin M Wattenberg

Towards Visual Explanations for Convolutional Neural Networks via Input Resampling Benjamin J Lengerich, Sandeep Konam, Eric Xing, Stephanie Rosenthal, Manuela Veloso

Quantifying Interpretations of Deep Visual Representations Bolei Zhou

Visualizing Feature Maps in Deep Neural Networks using DeepResolve - A Genomics Case Study Ge Liu, David Gifford

Skip-Frame Embeddings for Feature Adaptation and Visualization Zain Shah