List of reference papers
Here is a list of the papers in the past year that related to this topic. You can also look at the reference paper page and accepted paper page from our 2016 workshop to see papers from previous year.
Feel free to email bjiang [at] berkeley.edu if you know any other related papers. This will greatly help us find out the audience and contributors for the workshop.
CNN & Vision
Cooperative Training of Descriptor and Generator Network Jianwen Xie, Yang Lu, Ruiqi Gao, Song-Chun Zhu, and Ying Nian Wu
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space Anh Nguyen, Jason Yosinski, Yoshua Bengio, Alexey Dosovitskiy, and Jeff Clune
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks Anh Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, and Jeff Clune
A Neural Representation of Sketch Drawings David Ha, Douglas Eck
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis Luisa M Zintgraf, Taco S Cohen, Tameem Adel, and Max Welling
VisualBackProp: visualizing CNNs for autonomous driving Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry Jackel, Urs Muller, and Karol Zieba
ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation Fred Hohman, Nathan Hodas, and Duen Horng Chau
Visualizing the Hidden Activity of Artificial Neural Networks Paulo E. Rauber, Samuel G. Fadel, Alexandre X. Falcao, and Alexandru C. Telea
Towards Better Analysis of Deep Convolutional Neural Networks Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, and Shixia Liu
The Mythos of Model Interpretability Zachary C. Lipton
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, and Mohammad Norouzi