ICML 2016 Workshop on Visualization for Deep Learning
TechTalks from event: ICML 2016 Workshop on Visualization for Deep Learning
- All Talks
- A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
- Deep Taylor Decomposition of Neural Networks
- Effective Deep Learning Visualizations in DIGITS
- Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
- Realistic Visual Manipulation on the Natural Image Manifold
- Visualizing Dynamics: from t-SNE to SEMI-MDPs
- Visual Tools for Debugging Neural Language Models
- Towards an Understanding of Parameter Space: Spectral Decomposition of Deep Network Optimization Trajectories
- ICML Workshop on Visualization for Deep Learning
- Visualizing and Comparing AlexNet and VGGNet Using Deconvolutional Layers
- The Linear Representation of CNN for Single Image
- Batch-Normalized Maxout Network In Network
- Visualizing Online Learner Patterns
- Invited Speaker: Deep Learning Transparency
- Explaining and Interpreting Deep Neural Nets
- Interactive Demo: A Visual Analysis System for Analyzing Deep Convolutional Neural Networks
- Characterizing Visual Representations Within Convolutional Neural Networks: Toward a Quantitative Approach
- Towards Transparent Visual Question Answering Systems
- A New Method to Visualize Deep Neural Networks
- Visualizing Deep Texture Representations
- Panel with Invited Speakers
- Best Student Paper Prizes