Fred Hohman

65 papers A* 12A 1B 1Misc 1Journal 37Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Scalable Approach to Clustering Embedding Projections.
CoRR
Donghao Ren, Fred Hohman, Dominik Moritz
2025 J jnl
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments.
IEEE Trans. Vis. Comput. Graph.
Angie W. Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman
2025 J jnl
Embedding Atlas: Low-Friction, Interactive Embedding Visualization.
CoRR
Donghao Ren, Fred Hohman, Halden Lin, Dominik Moritz
2025 A* conf
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation.
CHI
Catherine Yeh, Donghao Ren, Yannick Assogba, Dominik Moritz, Fred Hohman
2025 A* conf
Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors.
UIST
Michelle S. Lam, Fred Hohman, Dominik Moritz, Jeffrey P. Bigham, Kenneth Holstein, Mary Beth Kery
2025 J jnl
Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language.
CoRR
Angie W. Boggust, Donghao Ren, Yannick Assogba, Dominik Moritz, Arvind Satyanarayan, Fred Hohman
2024 J jnl
AI Policy Projector: Grounding LLM Policy Design in Iterative Mapmaking.
CoRR
Michelle S. Lam, Fred Hohman, Dominik Moritz, Jeffrey P. Bigham, Kenneth Holstein, Mary Beth Kery
2024 B conf
BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks.
VL/HCC
Ruijia Cheng, Titus Barik, Alan Leung, Fred Hohman, Jeffrey Nichols
2024 J jnl
BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks.
CoRR
Ruijia Cheng, Titus Barik, Alan Leung, Fred Hohman, Jeffrey Nichols
2024 J jnl
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments.
CoRR
Angie W. Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman
2024 J jnl
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation.
CoRR
Catherine Yeh, Donghao Ren, Yannick Assogba, Dominik Moritz, Fred Hohman
2024 A* conf
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences.
CHI
Fred Hohman, Mary Beth Kery, Donghao Ren, Dominik Moritz
2024 A* conf
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference.
CHI
Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Görtler, Dominik Moritz, Jeffrey P. Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang
2024 J jnl
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference.
CoRR
Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Görtler, Dominik Moritz, Jeffrey P. Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang
2023 A* conf
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements.
CHI
Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Fred Hohman
2023 J jnl
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements.
CoRR
Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Fred Hohman
2023 Misc conf
Collaborative Machine Learning Model Building with Families Using Co-ML.
IDC
Tiffany Tseng, Jennifer King Chen, Mona Abdelrahman, Mary Beth Kery, Fred Hohman, Adriana Hilliard, R. Benjamin Shapiro
2023 J jnl
Collaborative Machine Learning Model Building with Families Using Co-ML.
CoRR
Tiffany Tseng, Jennifer King Chen, Mona Abdelrahman, Mary Beth Kery, Fred Hohman, Adriana Hilliard, R. Benjamin Shapiro
2023 J jnl
Designing Data: Proactive Data Collection and Iteration for Machine Learning.
CoRR
Aspen K. Hopkins, Fred Hohman, Luca Zappella, Xavier Suau Cuadros, Dominik Moritz
2023 J jnl
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences.
CoRR
Fred Hohman, Mary Beth Kery, Donghao Ren, Dominik Moritz
2023 — conf
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings.
ACL (demo)
Zijie J. Wang, Fred Hohman, Duen Horng Chau
2023 J jnl
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings.
CoRR
Zijie J. Wang, Fred Hohman, Duen Horng Chau
2022 A* conf
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels.
CHI
Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel
2022 J jnl
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph.
Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau
2022 A* conf
Symphony: Composing Interactive Interfaces for Machine Learning.
CHI
Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz
2022 J jnl
Symphony: Composing Interactive Interfaces for Machine Learning.
CoRR
Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz
2021 J jnl
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization.
IEEE Trans. Vis. Comput. Graph.
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau
2021 J jnl
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels.
CoRR
Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel
2021 J jnl
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks.
CoRR
Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau
2020 — conf
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks.
IEEE VIS (Short Papers)
Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau
2020 J jnl
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks.
CoRR
Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2020 — conf
CNN 101: Interactive Visual Learning for Convolutional Neural Networks.
CHI Extended Abstracts
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020 J jnl
CNN 101: Interactive Visual Learning for Convolutional Neural Networks.
CoRR
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020 J jnl
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization.
CoRR
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020 — conf
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning.
CHI Extended Abstracts
Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2020 J jnl
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning.
CoRR
Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2020 J jnl
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations.
IEEE Trans. Vis. Comput. Graph.
Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng (Polo) Chau
2020 — conf
The Future of Notebook Programming Is Fluid.
CHI Extended Abstracts
Mary Beth Kery, Donghao Ren, Kanit Wongsuphasawat, Fred Hohman, Kayur Patel
2020 A* conf
Understanding and Visualizing Data Iteration in Machine Learning.
CHI
Fred Hohman, Kanit Wongsuphasawat, Mary Beth Kery, Kayur Patel
2020 A* conf
mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks.
UIST
Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel
2020 J jnl
mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks.
CoRR
Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel
2019 A conf
Atlas: local graph exploration in a global context.
IUI
James Abello, Fred Hohman, Varun Bezzam, Duen Horng Chau
2019 J jnl
ElectroLens: Understanding Atomistic Simulations Through Spatially-resolved Visualization of High-dimensional Features.
CoRR
Xiangyun Lei, Fred Hohman, Duen Horng Chau, Andrew J. Medford
2019 — conf
ElectroLens: Understanding Atomistic Simulations through Spatially-Resolved Visualization of High-Dimensional Features.
IEEE VIS (Short Papers)
Xiangyun Lei, Fred Hohman, Duen Horng (Polo) Chau, Andrew J. Medford
2019 — conf
FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning.
VAST
Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
2019 J jnl
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning.
CoRR
Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
2019 A* conf
Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models.
CHI
Fred Hohman, Andrew Head, Rich Caruana, Robert DeLine, Steven Mark Drucker
2019 A* conf
Managing Messes in Computational Notebooks.
CHI
Andrew Head, Fred Hohman, Titus Barik, Steven Mark Drucker, Robert DeLine
2019 J jnl
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions.
CoRR
Haekyu Park, Fred Hohman, Duen Horng Chau
2019 J jnl
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations.
CoRR
Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng Chau
2019 — conf
TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning.
IEEE VIS (Short Papers)
Fred Hohman, Arjun Srinivasan, Steven Mark Drucker
2019 J jnl
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers.
IEEE Trans. Vis. Comput. Graph.
Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau
2018 J jnl
Interactive Classification for Deep Learning Interpretation.
CoRR
Ángel Alexander Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
2018 J jnl
Large Graph Exploration via Subgraph Discovery and Decomposition.
CoRR
James Abello, Fred Hohman, Varun Bezzam, Duen Horng Chau
2018 A* conf
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression.
KDD
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018 — conf
Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure.
IEEE BigData
Alok Tripathy, Fred Hohman, Duen Horng Chau, Oded Green
2018 J jnl
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression.
CoRR
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
2018 J jnl
VIGOR: Interactive Visual Exploration of Graph Query Results.
IEEE Trans. Vis. Comput. Graph.
Robert S. Pienta, Fred Hohman, Alex Endert, Acar Tamersoy, Kevin A. Roundy, Christopher S. Gates, Shamkant B. Navathe, Duen Horng Chau
2018 J jnl
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers.
CoRR
Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau
2017 — conf
A Deep Learning Approach for Population Estimation from Satellite Imagery.
GeoHumanities@SIGSPATIAL
Caleb Robinson, Fred Hohman, Bistra Dilkina
2017 J jnl
A Deep Learning Approach for Population Estimation from Satellite Imagery.
CoRR
Caleb Robinson, Fred Hohman, Bistra Dilkina
2017 J jnl
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression.
CoRR
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau
2017 — conf
ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation.
CHI Extended Abstracts
Fred Hohman, Nathan O. Hodas, Duen Horng Chau
2017 — conf
Visual Graph Query Construction and Refinement.
SIGMOD Conference
Robert S. Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau
2017 — conf
mHealth visual discovery dashboard.
UbiComp/ISWC Adjunct
Dezhi Fang, Fred Hohman, Peter J. Polack Jr., Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al'Absi, Duen Horng Chau