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06/15/2023
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
Machine learning models often learn latent embedding representations tha...
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04/12/2023
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements
Machine learning (ML) models can fail in unexpected ways in the real wor...
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04/11/2023
Collaborative Machine Learning Model Building with Families Using Co-ML
Existing novice-friendly machine learning (ML) modeling tools center aro...
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01/24/2023
Designing Data: Proactive Data Collection and Iteration for Machine Learning
Lack of diversity in data collection has caused significant failures in ...
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02/18/2022
Symphony: Composing Interactive Interfaces for Machine Learning
Interfaces for machine learning (ML), information and visualizations abo...
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10/24/2021
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels
The confusion matrix, a ubiquitous visualization for helping people eval...
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08/29/2021
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
Existing research on making sense of deep neural networks often focuses ...
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09/22/2020
mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks
We aim to increase the flexibility at which a data worker can choose the...
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09/05/2020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
Deep neural networks (DNNs) are now commonly used in many domains. Howev...
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04/30/2020
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Deep learning's great success motivates many practitioners and students ...
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01/21/2020
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning
Deep neural networks (DNNs) are increasingly powering high-stakes applic...
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01/07/2020
CNN 101: Interactive Visual Learning for Convolutional Neural Networks
The success of deep learning solving previously-thought hard problems ha...
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08/20/2019
ElectroLens: Understanding Atomistic Simulations Through Spatially-resolved Visualization of High-dimensional Features
In recent years, machine learning (ML) has gained significant popularity...
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06/02/2019
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions
As deep neural networks are increasingly used in solving high-stake prob...
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04/10/2019
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
The growing capability and accessibility of machine learning has led to ...
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04/04/2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
Deep learning is increasingly used in decision-making tasks. However, un...
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08/13/2018
Large Graph Exploration via Subgraph Discovery and Decomposition
We are developing an interactive graph exploration system called Graph P...
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06/14/2018
Interactive Classification for Deep Learning Interpretation
We present an interactive system enabling users to manipulate images to ...
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02/19/2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
The rapidly growing body of research in adversarial machine learning has...
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01/21/2018
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
Deep learning has recently seen rapid development and significant attent...
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08/30/2017
A Deep Learning Approach for Population Estimation from Satellite Imagery
Knowing where people live is a fundamental component of many decision ma...
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05/08/2017
