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

(Best paper prize) Visual Tools for Debugging Neural Language Models Xin Rong, Eytan Adar

Effective Visualizations for Training and Evaluating Deep Models Luke Yeager

Direct-Manipulation Visualization of Deep Networks Daniel Smilkov, Shan Carter, D. Sculley, Fernanda B. Viegas, Martin Wattenberg

Visualizing Deep Network Training Trajectories with PCA Eliana Lorch

(Best student paper) Towards Transparent AI Systems: Interpreting Visual Question Answering Models Yash Goyal, Akrit Mohapatra, Devi Parikh, Dhruv Batra

(Best student paper) Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, Dhruv Batra

Visualizing Online Learner Patterns Christopher Vu Le, Zachary A. Pardos

A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks Felix Grun, Christian Rupprecht, Federico Tombari

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

Interactive Demo: A Visual Analysis System for Analyzing Deep Convolutional Neural Networks Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu

Visualizing and Comparing AlexNet and VGG using Deconvolutional Layers Wei Yu, Kuiyuan Yang, Yalong Bai, Hongxun Yao, Yong Rui

(Best paper prize and best student paper) Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Nguyen, Jason Yosinski, Jeff Clune

Batch-Normalized Maxout Network in Network Jia-Ren Chang, Yong-Sheng Chen

Characterizing Visual Representations within Convolutional Neural Networks: Toward a Quantitative Approach Chuan-Yung Tsai, David D. Cox

Visualizing Deep Texture Representations Tsung-Yu Lin, Subhransu Maji

The linear representation of CNN for single image Wei Yu, Kuiyuan Yang, Yalong Bai, Hongxun Yao

(Best paper prize) Analyzing and Validating Neural Networks Predictions Alexander Binder, Wojciech Samek, Gregoire Montavon, Sebastian Bach, Klaus-Robert Muller

A New Method to Visualize Deep Neural Networks Luisa M. Zintgraf, Taco Cohen, Max Welling