38 citations · 165 across the 25 of their papers we have counts for
5 papers · 1 filter
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures
Dylan Cashman, Adam Perer, Remco Chang +1
Deep learning models require the configuration of many layers and parameters in order to get good results. However, there are currently few systematic guidelines for how to configu…
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks
Dylan Cashman, Genevieve Patterson, Abigail Mosca +3
We present RNNbow, an interactive tool for visualizing the gradient flow during backpropagation training in recurrent neural networks. RNNbow is a web application that displays the…
DIEL: Interactive Visualization Beyond the Here and Now
Yifan Wu, Remco Chang, Joseph Hellerstein +2
Interactive visualization design and research have primarily focused on local data and synchronous events. However, for more complex use cases---e.g., remote database access and st…
Programming with Timespans in Interactive Visualizations
Yifan Wu, Remco Chang, Eugene Wu +1
Modern interactive visualizations are akin to distributed systems, where user interactions, background data processing, remote requests, and streaming data read and modify the inte…
Kyrix: Interactive Visual Data Exploration at Scale
Wenbo Tao, Xiaoyu Liu, Çağatay Demiralp +2
Scalable interactive visual data exploration is crucial in many domains due to increasingly large datasets generated at rapid rates. Details-on-demand provides a useful interaction…