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Found 6 papers, 3 papers with code
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts
Presenting a predictive model's performance is a communication bottleneck that threatens collaborations between data scientists and subject matter experts.
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data
Projection techniques are often used to visualize high-dimensional data, allowing users to better understand the overall structure of multi-dimensional spaces on a 2D screen.
CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs
In this paper, we present CAVA, a system that integrates data curation and data augmentation with the traditional data exploration and analysis tasks, enabling information foraging in-situ during analysis.
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures
In this paper, we present Rapid Exploration of Model Architectures and Parameters, or REMAP, a visual analytics tool that allows a model builder to discover a deep learning model quickly via exploration and rapid experimentation of neural network architectures.
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks
RNNbow is a web application that displays the relative gradient contributions from Recurrent Neural Network (RNN) cells in a neighborhood of an element of a sequence.
A User-based Visual Analytics Workflow for Exploratory Model Analysis
We found that our system workflow enabled users to generate complex models, to assess them for various qualities, and to select the most relevant model for their task.
