385 citations · 1.1k across the 18 of their papers we have counts for
3 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…
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger +2
Automation of tasks can have critical consequences when humans lose agency over decision processes. Deep learning models are particularly susceptible since current black-box approa…
Progressive Data Science: Potential and Challenges
Cagatay Turkay, Nicola Pezzotti, Carsten Binnig +7
Data science requires time-consuming iterative manual activities. In particular, activities such as data selection, preprocessing, transformation, and mining, highly depend on iter…