Location: C4.3 International Convention Centre

8:30-8:45 Opening remark

8:45-9:20 Invited talk. Becoming friends with every pixel Phillip Isola (UC Berkeley)

9:20-9:40 SmoothGrad: removing noise by adding noise Daniel Smilkov, Nikhil Thorat, Been Kim, Fernanda Viegas, Martin M Wattenberg

9:40-10:00 Towards Visual Explanations for Convolutional Neural Networks via Input Resampling Benjamin J Lengerich, Sandeep Konam, Eric Xing, Stephanie Rosenthal, Manuela Veloso

10:00-10:30 Coffee Breaks and Poster session

10:30-11:00 Invited talk. Understanding Generative Models in Google Brain Magenta Cinjon Resnick (Google)

11:00-11:15 Deep saliency: What is learnt by a deep network about saliency? Sen He, Nicolas Pugeault

11:15-11:45 Invited talk. Self-supervised attention for Deep Learning explanations Nathan Hodas, (PNL)

11:45-12:00 Skip-Frame Embeddings for Feature Adaptation and Visualization Zain Shah

12:00-14:00 Lunch Breaks

14:00-14:40 Invited talk. Quantifying the Interpretability of Deep Visual Representations Bolei Zhou (MIT)

14:40-15:00 Visualizing Feature Maps in Deep Neural Networks using DeepResolve - A Genomics Case Study Ge Liu, David Gifford

15:00-15:30 Coffee Breaks and Poster session

15:30-16:00 Invited talk. Visual Explanations from Deep Networks Dhruv Batra (Georgia Tech and Facebook AI Research)

16:00-16:20 Evolutionary Visual Analysis of Deep Neural Networks Wen Zhong, Cong Xie, Yuan Zhong, Yang Wang, Wei Xu, Shenghui Cheng, Klaus Mueller

16:20-16:50 Invited talk. ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models Pierre Andrews (Facebook)

16:50-17:30 Panel discussion. Brainstorming on deep learning visualization tools

17:30 Closing remarks