Fred Hohman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
6
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CHI | Exploring Empty Spaces: Human-in-the-Loop Data Augmentation. | Catherine Yeh, Donghao Ren, Yannick Assogba, Dominik Moritz, Fred Hohman |
| 2025 | UIST | Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors. | Michelle S. Lam, Fred Hohman, Dominik Moritz, Jeffrey P. Bigham, Kenneth Holstein, Mary Beth Kery |
| 2024 | CHI | Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences. | Fred Hohman, Mary Beth Kery, Donghao Ren, Dominik Moritz |
| 2024 | CHI | Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference. | Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Grtler, Dominik Moritz, Jeffrey P. Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang |
| 2023 | ACL | WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. | Zijie J. Wang, Fred Hohman, Duen Horng Chau |
| 2023 | CHI | Angler: Helping Machine Translation Practitioners Prioritize Model Improvements. | Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Fred Hohman |
| 2022 | CHI | Symphony: Composing Interactive Interfaces for Machine Learning. | Alex Buerle, ngel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz |
| 2022 | CHI | Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. | Jochen Grtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel |
| 2020 | CHI | Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. | Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau |
| 2020 | CHI | Understanding and Visualizing Data Iteration in Machine Learning. | Fred Hohman, Kanit Wongsuphasawat, Mary Beth Kery, Kayur Patel |
| 2020 | CHI | The Future of Notebook Programming Is Fluid. | Mary Beth Kery, Donghao Ren, Kanit Wongsuphasawat, Fred Hohman, Kayur Patel |
| 2020 | CHI | CNN 101: Interactive Visual Learning for Convolutional Neural Networks. | Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau |
| 2020 | UIST | mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks. | Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel |
| 2019 | CHI | Managing Messes in Computational Notebooks. | Andrew Head, Fred Hohman, Titus Barik, Steven Mark Drucker, Robert DeLine |
| 2019 | CHI | Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models. | Fred Hohman, Andrew Head, Rich Caruana, Robert DeLine, Steven Mark Drucker |
| 2019 | IUI | Atlas: local graph exploration in a global context. | James Abello, Fred Hohman, Varun Bezzam, Duen Horng Chau |
| 2018 | KDD | SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. | Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau |
| 2017 | CHI | ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation. | Fred Hohman, Nathan O. Hodas, Duen Horng Chau |
| 2017 | SIGMOD | Visual Graph Query Construction and Refinement. | Robert S. Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau |