Fred Hohman
Title
Cited by
Cited by
Year
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
F Hohman, M Kahng, R Pienta, DH Chau
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2018
1482018
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
N Das, M Shanbhogue, ST Chen, F Hohman, L Chen, ME Kounavis, ...
arXiv preprint arXiv:1705.02900, 2017
892017
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
N Das, M Shanbhogue, ST Chen, F Hohman, S Li, L Chen, ME Kounavis, ...
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
512018
VIGOR: Interactive Visual Exploration of Graph Query Results
R Pienta, F Hohman, A Endert, A Tamersoy, K Roundy, C Gates, ...
IEEE Transactions on Visualization and Computer Graphics (TVCG) 24 (1), 215-225, 2018
282018
Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models
F Hohman, A Head, R Caruana, R DeLine, SM Drucker
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
272019
A Deep Learning Approach for Population Estimation from Satellite Imagery
C Robinson, F Hohman, B Dilkina
Proceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities, 47--54, 2017
232017
Visual Graph Query Construction and Refinement
R Pienta, F Hohman, A Tamersoy, A Endert, S Navathe, H Tong, DH Chau
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
182017
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
F Hohman, H Park, C Robinson, DH Chau
IEEE Transactions on Visualization and Computer Graphics (TVCG) 26 (1), 1096 …, 2019
152019
ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation
F Hohman, N Hodas, DH Chau
Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017
142017
Managing Messes in Computational Notebooks
A Head, F Hohman, T Barik, SM Drucker, R DeLine
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
112019
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
ÁA Cabrera, W Epperson, F Hohman, M Kahng, J Morgenstern, DH Chau
IEEE Conference on Visual Analytics Science and Technology (VAST), 2019
102019
Interactive Classification for Deep Learning Interpretation
Á Cabrera, F Hohman, J Lin, DH Chau
Demo, Conference on Computer Vision and Pattern Recognition (CVPR), 2018
52018
Compression to the Rescue: Defending from Adversarial Attacks Across Modalities
N Das, M Shanbhogue, ST Chen, F Hohman, S Li, L Chen, ME Kounavis, ...
ACM KDD Project Showcase, 2018
42018
Atlas: Local graph exploration in a global context
J Abello, F Hohman, V Bezzam, DH Chau
24th ACM International Conference on Intelligent User Interfaces (IUI), 2019
32019
Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure
A Tripathy, F Hohman, DH Chau, O Green
IEEE International Conference on Big Data, 2018
32018
A Viz of Ice and Fire: Exploring Entertainment Video Using Color and Dialogue
F Hohman, S Soni, I Stewart, J Stasko
2nd Workshop on Visualization for the Digital Humanities at IEEE VIS, 2017
32017
3D Exploration of Graph Layers via Vertex Cloning
J Abello, F Hohman, DH Chau
IEEE Conference on Visual Analytics Science and Technology (VAST), 2017
32017
mHealth visual discovery dashboard
D Fang, F Hohman, P Polack, H Sarker, M Kahng, M Sharmin, M al'Absi, ...
Proceedings of the 2017 ACM International Joint Conference on Pervasive and …, 2017
32017
TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning
F Hohman, A Srinivasan, SM Drucker
IEEE Conference on Visualization (VIS), 2019
22019
Large Graph Exploration via Subgraph Discovery and Decomposition
J Abello, F Hohman, V Bezzam, DH Chau
arXiv preprint arXiv:1808.04414, 2018
22018
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Articles 1–20