Fred Hohman

			
@inproceedings{hohman2024model,
    title={{Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences}},
    author={Hohman, Fred and Kery, Mary Beth and Ren, Donghao and Moritz, Dominik},
    booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
    year={2024},
    organization={ACM},
    doi={10.1145/3613904.3642109}
}
		

			
@inproceedings{hohman2024talaria,
    title={{Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference}},
    author={Hohman, Fred and Wang, Chaoqun and Lee, Jinmook and Görtler, Jochen and Moritz, Dominik and Bigham, Jeffrey P and Ren, Zhile and Foret, Cecile and Shan, Qi and Zhang, Xiaoyi},
    booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
    year={2024},
    organization={ACM},
    doi={10.1145/3613904.3642628}
}
		

			
@inproceedings{goertler2022neo,
  title={Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels},
  author={Görtler, Jochen and Hohman, Fred and Moritz, Dominik and Wongsuphasawat, Kanit and Ren, Donghao and Nair, Rahul and Kirchner, Marc and Patel, Kayur},
  booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
  year={2022},
  organization={ACM},
  doi={10.1145/3491102.3501823}
}
		

			
@article{hohman2020communicating,
  author={Hohman, Fred and Conlen, Matthew and Heer, Jeffrey and Chau, Duen Horng},
  title={Communicating with Interactive Articles},
  journal={Distill},
  year={2020},
  doi={10.23915/distill.00028},
  url={https://distill.pub/2020/communicating-with-interactive-articles}
}
		

			
@article{hohman2020summit,
  title={Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations},
  author={Hohman, Fred and Park, Haekyu and Robinson, Caleb and Chau, Duen Horng},
  journal={IEEE Transactions on Visualization and Computer Graphics (TVCG)},
  year={2020},
  publisher={IEEE},
  doi={10.1109/TVCG.2019.2934659},
  url={https://fredhohman.com/summit/}
}
		

			
@inproceedings{hohman2019gamut,
    title={Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models},
    author={Hohman, Fred and Head, Andrew and Caruana, Rich and DeLine, Rob and Drucker, Steven M.},
    booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
    year={2019},
    organization={ACM},
    doi={10.1145/3290605.3300809}
}
		

			
@article{gunter2024apple,
  title={Apple Intelligence Foundation Language Models},
  author={Gunter, Tom and Wang, Zirui and Wang, Chong and Pang, Ruoming and Narayanan, Andy and Zhang, Aonan and Zhang, Bowen and Chen, Chen and Chiu, Chung-Cheng and Qiu, David and others},
  journal={arXiv preprint arXiv:2407.21075},
  year={2024}
}
		

			
@inproceedings{boggust2025compress,
    title={{Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments}},
    author={Boggust, Angie and Sivaraman, Venkatesh and Assogba, Yannick and Ren, Donghao and Moritz, Dominik and Hohman, Fred},
    booktitle={IEEE Transactions on Visualization and Computer Graphics},
    year={2025},
    organization={IEEE},
    doi={10.1109/TVCG.2024.3456371}
}
		

			
@article{park2022neurocartography,
  title={NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks},
  author={Park, Haekyu and Das, Nilaksh and Duggal, Rahul and Wright, Austin P. and Shaikh, Omar and Hohman, Fred and Chau, Duen Horng},
  journal={IEEE Transactions on Visualization and Computer Graphics (TVCG)},
  year={2022},
  publisher={IEEE},
  doi={10.1109/TVCG.2021.3114858},
  url={https://poloclub.github.io/neuro-cartography/}
}
		

			
@article{hohman2020communicating,
  author={Hohman, Fred and Conlen, Matthew and Heer, Jeffrey and Chau, Duen Horng},
  title={Communicating with Interactive Articles},
  journal={Distill},
  year={2020},
  doi={10.23915/distill.00028},
  url={https://distill.pub/2020/communicating-with-interactive-articles}
}
		

			
@inproceedings{wang2021cnnexplainer,
  title={CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization},
  author={Wang, Zijie J. and Turko, Robert and Shaikh, Omar and Park, Haekyu and Das, Nilaksh and Hohman, Fred and Kahng, Minsuk and Chau, Duen Horng (Polo)},
  booktitle={IEEE Transactions on Visualization and Computer Graphics (TVCG)},
  publisher={IEEE},
  year={2021},
  doi={10.1109/TVCG.2020.3030418},
  url={https://poloclub.github.io/cnn-explainer/}
}
		

			
@article{hohman2020summit,
  title={Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations},
  author={Hohman, Fred and Park, Haekyu and Robinson, Caleb and Chau, Duen Horng},
  journal={IEEE Transactions on Visualization and Computer Graphics (TVCG)},
  year={2020},
  publisher={IEEE},
  doi={10.1109/TVCG.2019.2934659},
  url={https://fredhohman.com/summit/}
}
		

			
@article{hohman2018visual,
  title={Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers},
  author={Hohman, Fred and Kahng, Minsuk and Pienta, Robert and Chau, Duen Horng},
  journal={IEEE Transactions on Visualization and Computer Graphics (TVCG)},
  year={2018},
  publisher={IEEE},
  doi={10.1109/TVCG.2018.2843369},
  url={https://fredhohman.com/visual-analytics-in-deep-learning/}
}
		

			
@article{pienta2018vigor,
  title={VIGOR: Interactive Visual Exploration of Graph Query Results},
  author={Pienta, Robert and Hohman, Fred and Endert, Alex and Tamersoy, Acar and Roundy, Kevin and Gates, Chris and Navathe, Shamkant and Chau, Duen Horng},
  journal={IEEE Transactions on Visualization and Computer Graphics (TVCG)},
  year={2018},
  publisher={IEEE},
  doi={10.1109/TVCG.2017.2744898}
}
		

			
@article{cheng2024biscuit,
    title={{Biscuit: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks}},
    author={Cheng, Ruijia and Barik, Titus and Leung, Alan and Hohman, Fred and Nichols, Jeffrey},
    journal={IEEE Symposium on Visual Languages and Human-Centric Computing},
    year={2024},
    doi={10.48550/arXiv.2404.07387}
}
		

			
@inproceedings{hohman2024model,
    title={{Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences}},
    author={Hohman, Fred and Kery, Mary Beth and Ren, Donghao and Moritz, Dominik},
    booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
    year={2024},
    organization={ACM},
    doi={10.1145/3613904.3642109}
}
		

			
@inproceedings{hohman2024talaria,
    title={{Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference}},
    author={Hohman, Fred and Wang, Chaoqun and Lee, Jinmook and Görtler, Jochen and Moritz, Dominik and Bigham, Jeffrey P and Ren, Zhile and Foret, Cecile and Shan, Qi and Zhang, Xiaoyi},
    booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
    year={2024},
    organization={ACM},
    doi={10.1145/3613904.3642628}
}
		

			
@inproceedings{tseng2023collaborative,
  title={Collaborative machine learning model building with families using Co-ML},
  author={Tseng, Tiffany and Chen, Jennifer King and Abdelrahman, Mona and Kery, Mary Beth and Hohman, Fred and Hilliard, Adriana and Shapiro, R. Benjamin},
  booktitle={Interaction Design and Children},
  year={2023},
  organization={ACM},
  doi={10.1145/3585088.3589356}
}
		

			
@inproceedings{robertson2023angler,
  title={Angler: Helping Machine Translation Practitioners Prioritize Model Improvements},
  author={Robertson, Samantha and Wang, Zijie J. and Moritz, Dominik and Kery, Mary Beth and Hohman, Fred},
  booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
  year={2023},
  organization={ACM},
  doi={10.1145/3544548.3580790}
}
		

			
@inproceedings{bauerle2022symphony,
  title={Symphony: Composing Interactive Interfaces for Machine Learning},
  author={Bäuerle, Alex and Cabrera, Ángel Alexander and Hohman, Fred and Maher, Megan and Koski, David and Suau, Xavier and Barik, Titus and Moritz, Dominik},
  booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
  year={2022},
  organization={ACM},
  doi={10.1145/3491102.3502102}
}
		

			
@inproceedings{goertler2022neo,
  title={Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels},
  author={Görtler, Jochen and Hohman, Fred and Moritz, Dominik and Wongsuphasawat, Kanit and Ren, Donghao and Nair, Rahul and Kirchner, Marc and Patel, Kayur},
  booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
  year={2022},
  organization={ACM},
  doi={10.1145/3491102.3501823}
}
		

			
@inproceedings{das2020bluff,
    title={Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks},
    author={Wang, Zijie J. and Turko, Robert and Shaikh, Omar and Park, Haekyu and Das, Nilaksh and Hohman, Fred and Kahng, Minsuk and Chau, Duen Horng (Polo)},
    booktitle={IEEE Visualization Conference (VIS)},
    publisher={IEEE},
    year={2020},
    doi={10.1109/VIS47514.2020.00061},
    url={https://github.com/poloclub/bluff}
}
		

			
@inproceedings{kery2020mage,
  title={mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks},
  author={Kery, Mary Beth and Ren, Donghao and Hohman, Fred and Moritz, Dominik and Wongsuphasawat, Kanit and Patel, Kayur},
  booktitle={Proceedings of the ACM Symposium on User Interface Software and Technology},
  year={2020},
  organization={ACM},
  doi={10.1145/3379337.3415842}
}
		

			
@inproceedings{hohman2020understanding,
  title={Understanding and Visualizing Data Iteration in Machine Learning},
  author={Hohman, Fred and Wongsuphasawat, Kanit and Kery, Mary Beth and Patel, Kayur},
  booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
  year={2020},
  organization={ACM},
  doi={10.1145/3313831.3376177}
}
		

			
@article{cabrera2019fairvis,
    title={FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning},
    author={Cabrera, {\'A}ngel and Epperson, Will, and Hohman, Fred and Kahng, Minsuk and Morgenstern, Jamie and Chau, Duen Horng},
    journal={IEEE Conference on Visual Analytics Science and Technology (VAST)},
    year={2019},
    publisher={IEEE},
    doi={10.1109/VAST47406.2019.8986948},
    url={https://poloclub.github.io/FairVis/}
}
		

			
@article{hohman2019telegam,
    title={TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning},
    author={Hohman, Fred and Srinivasan, Arjun and Drucker, Steven M.},
    journal={IEEE Visualization Conference (VIS)},
    year={2019},
    publisher={IEEE},
    doir={10.1109/VISUAL.2019.8933695},
    url={https://poloclub.github.io/telegam/}
}
		

			
@article{lei2019electrolens,
    title={ElectroLens: Understanding Atomistic Simulations through Spatially-resolved Visualization of High-dimensional Features},
    author={Lei, Xiangyun and Hohman, Fred and Chau, Duen Horng (Polo) and Medford, Andrew},
    journal={IEEE Visualization Conference (VIS)},
    year={2019},
    publisher={IEEE},
    doi={10.1109/VISUAL.2019.8933647}
}
		

			
@inproceedings{hohman2019gamut,
    title={Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models},
    author={Hohman, Fred and Head, Andrew and Caruana, Rich and DeLine, Rob and Drucker, Steven M.},
    booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
    year={2019},
    organization={ACM},
    doi={10.1145/3290605.3300809}
}
		

			
@inproceedings{head2019managing,
  title={Managing Messes in Computational Notebooks},
  author={Head, Andrew and Hohman, Fred and Barik, Titus and Drucker, Steven M. and DeLine, Rob},
  booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
  year={2019},
  organization={ACM},
  doi={10.1145/3290605.3300500},
  url={https://microsoft.github.io/gather/}
}
		

			
@inproceedings{hohman2019atlas,
    title={Atlas: Local Graph Exploration in a Global Context},
    author={Abello, James and Hohman, Fred and Bezzam, Varun and Chau, Duen Horng},
    booktitle={Proceedings of the International Conference on Intelligent User Interfaces},
    year={2019},
    organization={ACM},
    doi={10.1145/3301275.3302275}
}
		

			
@inproceedings{tripathy2018scalable,
    title={Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure},
    author={Tripathy, Alok and Hohman, Fred and Chau, Duen Horng, and Green, Oded},
    booktitle={IEEE International Conference on Big Data (Big Data)},
    year={2018},
    publisher={IEEE},
    doi={10.1109/BigData.2018.8622056}
}
		

			
@inproceedings{das2018shield,
  author={Das, Nilaksh and Shanbhogue, Madhuri and Chen, Shang-Tse and Hohman, Fred and Li, Siwei and Chen, Li and Kounavis, Michael E. and Chau, Duen Horng},
  title={SHIELD: Fast, Practical Defense and Vaccination for Deep Learning Using JPEG Compression},
  booktitle={Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining (KDD)},
  year={2018},
  publisher={ACM},
  doi={10.1145/3219819.3219910}
} 
		

			
@article{das2017keeping,
    title={Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression},
    author={Das, Nilaksh and Shanbhogue, Madhuri and Chen, Shang-Tse and Hohman, Fred and Chen, Li and Kounavis, Michael E and Chau, Duen Horng},
    journal={arXiv preprint arXiv:1705.02900},
    year={2017}
}
		

			
@article{hopkins2023designing,
  title={Designing data: Proactive data collection and iteration for machine learning using reflexive planning, monitoring, and density estimation},
  author={Hopkins, Aspen and Hohman, Fred and Zappella, Luca and Cuadros, Xavier Suau and Moritz, Dominik},
  journal={Artificial Intelligence & Human-Computer Interaction Workshop at ICML},
  year={2023}
}
		

			
@article{conlen2019launching,
    title={Launching the Parametric Press},
    author={Conlen, Matthew and Hohman, Fred},
    journal={Visualization for Communication (VisComm) at IEEE VIS},
    year={2019},
    url={https://parametric.press}
}
		

			
@article{cabrera2019fdiscovery,
    title={Discovery of Intersectional Bias in Machine Learning Using Automatic Subgroup Generation},
    author={Cabrera, {\'A}ngel and Kahng, Minsuk and Hohman, Fred and Morgenstern, Jamie and Chau, Duen Horng},
    journal={Debugging Machine Learning Models Workshop (Debug ML) at ICLR},
    year={2019}
}
		

			
@article{conlen2018dr,
    title={The Beginner's Guide to Dimensionality Reduction},
    author={Conlen, Matthew and Hohman, Fred},
    journal={Workshop on Visualization for AI Explainability (VISxAI) at IEEE VIS},
    year={2018},
    publisher={IEEE},
    url={https://idyll.pub/post/dimensionality-reduction-293e465c2a3443e8941b016d/}
}
		

			
@inproceedings{das2018compression,
    author={Das, Nilaksh and Shanbhogue, Madhuri and Chen, Shang-Tse and Hohman, Fred and Li, Siwei and Chen, Li and Kounavis, Michael E. and Chau, Duen Horng},
    title={Compression to the Rescue: Defending from Adversarial Attacks Across Modalities},
    booktitle={Project Showcase, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining (KDD)},
    year={2018},
    publisher={ACM}
} 
		

			
@article{hohman2017got,
    title={A Viz of Ice and Fire: Exploring Entertainment Video Using Color and Dialogue},
    author={Hohman, Fred and Soni, Sandeep and Stewart, Ian and Stasko, John}
    journal={Proceedings of the 2nd Workshop on Visualization for the Digital Humanities (VIS4DH) at IEEE VIS},
    year={2017},
    publisher={IEEE},
    url={https://fredhohman.com/a-viz-of-ice-and-fire/}
}
		

			
@inproceedings{robinson2017deep,
    title={A Deep Learning Approach for Population Estimation from Satellite Imagery},
    author={Robinson, Caleb and Hohman, Fred and Dilkina, Bistra},
    booktitle={Proceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities},
    year={2017},
    publisher={ACM},
    doi={10.1145/3149858.3149863},
    url={https://deeppop.github.io}
}
		

			
@inproceedings{kery2020future,
  title={The Future of Notebook Programming Is Fluid},
  author={Kery, Mary Beth and Ren, Donghao and Wongsuphasawat, Kanit and Hohman, Fred and Patel, Kayur},
  booktitle={Proceedings of the 2020 CHI Conference Extended Abstracts on Human Factors in Computing Systems},
  publisher={ACM},
  year={2020},
  doi={10.1145/3334480.3383085}
}
		

			
@inproceedings{wang2020cnn101,
  title={CNN 101: Interactive Visual Learning for Convolutional Neural Networks},
  author={Wang, Zijie J. and Turko, Robert and Shaikh, Omar and Park, Haekyu and Das, Nilaksh and Hohman, Fred and Kahng, Minsuk and Chau, Duen Horng (Polo)},
  booktitle={Proceedings of the 2020 CHI Conference Extended Abstracts on Human Factors in Computing Systems},
  publisher={ACM},
  year={2020},
  doi={10.1145/3334480.3382899}
}
		

			
@inproceedings{das2020massif,
    title={Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning},
    author={Wang, Zijie J. and Turko, Robert and Shaikh, Omar and Park, Haekyu and Das, Nilaksh and Hohman, Fred and Kahng, Minsuk and Chau, Duen Horng (Polo)},
    booktitle={Proceedings of the 2020 CHI Conference Extended Abstracts on Human Factors in Computing Systems},
    publisher={ACM},
    year={2020},
    doi={10.1145/3334480.3382977}
}
		

			
@inproceedings{park2019neuraldivergence,
  title={NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions},
  author={Park, Haekyu and Hohman, Fred and Chau, Duen Horng},
  booktitle={Poster, Pacific Visualization Symposium (PacificVis)},
  year={2019},
  publisher={IEEE},
  url={http://haekyu.com/neural-divergence/}
}
		

			
@inproceedings{hohman2017playground,
    title={3D Exploration of Graph Layers via Vertex Cloning},
    author={Abello, James and Hohman, Fred and Chau, Duen Horng},
    booktitle={Poster, IEEE Conference on Visual Analytics Science and Technology (VAST)},
    year={2017},
    publisher={IEEE}
}
		

			
@inproceedings{hohman2017shapeshop,
    title={ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation},
    author={Hohman, Fred and Hodas, Nathan and Chau, Duen Horng},
    booktitle={Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems},
    year={2017},
    publisher={ACM},
    doi={10.1145/3027063.3053103}
}
		

			
@inproceedings{wang2023wizmap,
  title={WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings},
  author = {Wang, Zijie J. and Hohman, Fred and Chau, Duen Horng},
  booktitle={Demo, Annual Meeting of the Association for Computational Linguistics (ACL)},
  year={2023},
  url={https://poloclub.github.io/wizmap/}
}
		

			
@article{cabrera2018interactive,
    title={Interactive Classification for Deep Learning Interpretation},
    author={Cabrera, {\'A}ngel and Hohman, Fred and Lin, Jason and Chau, Duen Horng},
    journal={Demo, IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2018},
    publisher={IEEE}
}
		

			
@inproceedings{fang2017mhealth,
    title={mHealth Visual Discovery Dashboard},
    author={Fang, Dezhi and Hohman, Fred and Polack, Peter and Sarker, Hillol and Kahng, Minsuk and Sharmin, Moushumi and al'Absi, Mustafa and Chau, Duen Horng},
    booktitle={Demo, Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers},
    year={2017},
    publisher={ACM},
    doi={10.1145/3123024.3123170}
}
		

			
@inproceedings{pienta2017visual,
    title={Visual Graph Query Construction and Refinement},
    author={Pienta, Robert and Hohman, Fred and Tamersoy, Acar and Endert, Alex and Navathe, Shamkant and Tong, Hanghang and Chau, Duen Horng},
    booktitle={Demo, Proceedings of the 2017 ACM International Conference on Management of Data},
    year={2017},
    publisher={ACM},
    doi={10.1145/3035918.3056418}
}
		

			
@article{reckinger2019effect,
    title={The effect of numerical parameters on eddies in oceanic overflows: A laboratory and numerical study},
    author={Reckinger, Shanon M and Gibson, Thomas H and Hohman, Fred M and Morrison, Theresa J and Reckinger, Scott J and Carvalho, Mateus},
    journal={International Journal of Computational Methods and Experimental Measurements},
    volume={7},
    number={2},
    pages={142--153},
    year={2019},
    publisher={WIT Press},
    doi={10.2495/CMEM-V7-N2-142-153}
}