| 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 | 714 | 2018 |
| 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 | 395 | 2017 |
| CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ... IEEE Transactions on Visualization and Computer Graphics, 2020 | 314 | 2020 |
| 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 | 301 | 2019 |
| 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 | 273 | 2019 |
| 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 | 254 | 2018 |
| 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 | 250 | 2019 |
| 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 | 181 | 2019 |
| Understanding and Visualizing Data Iteration in Machine Learning F Hohman, K Wongsuphasawat, MB Kery, K Patel Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 134 | 2020 |
| 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 | 132 | 2017 |
| mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks MB Kery, D Ren, F Hohman, D Moritz, K Wongsuphasawat, K Patel Proceedings of the 33rd Annual ACM Symposium on User Interface Software and …, 2020 | 98 | 2020 |
| Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels J Görtler, F Hohman, D Moritz, K Wongsuphasawat, D Ren, R Nair, ... Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022 | 76 | 2022 |
| 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 | 75 | 2018 |
| Symphony: Composing Interactive Interfaces for Machine Learning A Bäuerle, ÁA Cabrera, F Hohman, M Maher, D Koski, X Suau, T Barik, ... Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022 | 72 | 2022 |
| TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning F Hohman, A Srinivasan, SM Drucker IEEE Conference on Visualization (VIS), 2019 | 49 | 2019 |
| Communicating with Interactive Articles F Hohman, M Conlen, J Heer, DHP Chau Distill 5 (9), e28, 2020 | 46 | 2020 |
| Apple Intelligence Foundation Language Models T Gunter, Z Wang, C Wang, R Pang, A Narayanan, A Zhang, B Zhang, ... arXiv preprint arXiv:2407.21075, 2024 | 40 | 2024 |
| 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 | 29 | 2017 |
| 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 | 28 | 2017 |
| Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, D Horng IEEE Conference on Visualization (VIS), 2020 | 26 | 2020 |
Duen Horng ChauProfessor, Georgia Institute of Technologyยืนยันอีเมลแล้วที่ gatech.edu