8:30-8:45 Opening remark

8:45-9:15 Invited talk. Direct-Manipulation Visualization of Deep Networks Martin Wattenberg, Daniel Smilkov (Google)

9:15-9:30 A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks Felix Grun, Christian Rupprecht, Federico Tombari

9:30-10:00 Spotlight paper talks:

Visualizing and Comparing AlexNet and VGG using Deconvolutional Layers

The linear representation of CNN for single image

Batch-Normalized Maxout Network in Network

Visualizing Online Learner Patterns

10:00-10:30 Breaks

10:30-11:00 Invited talk. Christopher Olah (Google)

11:00-11:15 Deep Taylor Decomposition of Neural Networks Gregoire Montavon, Sebastian Bach, Alexander Binder, Wojciech Samek, Klaus-Robert Muller

11:15-11:30 Analyzing and Validating Neural Networks Predictions Alexander Binder, Wojciech Samek, Gregoire Montavon, Sebastian Bach, Klaus-Robert Mullers

11:30-11:45 Towards an Understanding of Parameter Space: Spectral Decomposition of Deep Network Optimization Trajectories (Rescheduled to 16:30 PM) Eliana Lorch

11:45-12:00 Spotlight paper talks:

Interactive Demo: A Visual Analysis System for Analyzing Deep Convolutional Neural Networks

Characterizing Visual Representations within Convolutional Neural Networks: Toward a Quantitative Approach


Lunch Breaks


13:30-13:50 Invited talk. Effective Deep Learning Visualizations in DIGITS Luke Yeager (NVIDIA)

13:50-14:05 Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Nguyen, Jason Yosinski, Jeff Clune

14:05-14:25 Towards Transparent AI Systems: Interpreting Visual Question Answering Models, Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?

14:25-14:40 Spotlight paper talks:

A New Method to Visualize Deep Neural Networks

Visualizing Deep Texture Representations

14:40-15:00 Discussion

15:00-15:30 Breaks

15:30-16:00 Invited talk. Realistic Visual Manipulation on the Natural Image Manifold Jun-Yan Zhu

16:00-16:15 Visualizing Dynamics: from t-SNE to SEMI-MDPs Nir Ben Zrihem, Tom Zahavy, Shie Mannor

16:15-16:30 Visual Tools for Debugging Neural Language Models Xin Rong, Eytan Adar

16:30-16:45 Towards an Understanding of Parameter Space: Spectral Decomposition of Deep Network Optimization Trajectories Eliana Lorch

16:45 Awards ceremony& Closing remarks