| Scalable and accurate deep learning with electronic health records A Rajkomar, E Oren, K Chen, AM Dai, N Hajaj, M Hardt, PJ Liu, X Liu, ... NPJ digital medicine 1 (1), 1-10, 2018 | 2048 | 2018 |
| Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav) B Kim, M Wattenberg, J Gilmer, C Cai, J Wexler, F Viegas International conference on machine learning, 2668-2677, 2018 | 1756 | 2018 |
| Towards automatic concept-based explanations A Ghorbani, J Wexler, JY Zou, B Kim Advances in neural information processing systems 32, 2019 | 588 | 2019 |
| The what-if tool: Interactive probing of machine learning models J Wexler, M Pushkarna, T Bolukbasi, M Wattenberg, F Viégas, J Wilson IEEE transactions on visualization and computer graphics 26 (1), 56-65, 2019 | 520 | 2019 |
| Visualizing dataflow graphs of deep learning models in tensorflow K Wongsuphasawat, D Smilkov, J Wexler, J Wilson, D Mane, D Fritz, ... IEEE transactions on visualization and computer graphics 24 (1), 1-12, 2017 | 384 | 2017 |
| The language interpretability tool: Extensible, interactive visualizations and analysis for NLP models I Tenney, J Wexler, J Bastings, T Bolukbasi, A Coenen, S Gehrmann, ... arXiv preprint arXiv:2008.05122, 2020 | 162 | 2020 |
| The bach doodle: Approachable music composition with machine learning at scale CZA Huang, C Hawthorne, A Roberts, M Dinculescu, J Wexler, L Hong, ... arXiv preprint arXiv:1907.06637, 2019 | 88 | 2019 |
| System and method for predicting and summarizing medical events from electronic health records A Mossin, A Rajkomar, E Oren, J Wilson, J Wexler, P Sundberg, A Dai, ... US Patent 11,935,634, 2024 | 64 | 2024 |
| Generating charts from data in a data table F Viégas, M Wattenberg, D Smilkov, J Wexler, D Gundrum US Patent 11,093,703, 2021 | 53 | 2021 |
| Artificial Intelligence in Games: A look at the smarts behind Lionhead Studio's" Black and White" and where it can go and will go in the future J Wexler University of Rochester 19, 2002 | 33 | 2002 |
| Best of both worlds: local and global explanations with human-understandable concepts J Schrouff, S Baur, S Hou, D Mincu, E Loreaux, R Blanes, J Wexler, ... arXiv preprint arXiv:2106.08641, 2021 | 24 | 2021 |
| System and method for predicting and summarizing medical events from electronic health records K Chen, P Sundberg, A Mossin, N Hajaj, K Litsch, J Wexler, Y Zhang, ... US Patent 11,398,299, 2022 | 18 | 2022 |
| Clinicalvis: Supporting clinical task-focused design evaluation M Ghassemi, M Pushkarna, J Wexler, J Johnson, P Varghese arXiv preprint arXiv:1810.05798, 2018 | 13 | 2018 |
| Constitutionmaker: Interactively critiquing large language models by converting feedback into principles S Petridis, BD Wedin, J Wexler, M Pushkarna, A Donsbach, N Goyal, ... Proceedings of the 29th International Conference on Intelligent User …, 2024 | 5 | 2024 |
| Probing ML models for fairness with the What-If tool and SHAP: hands-on tutorial J Wexler, M Pushkarna, S Robinson, T Bolukbasi, A Zaldivar Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 3 | 2020 |
| LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models M Kahng, I Tenney, M Pushkarna, MX Liu, J Wexler, E Reif, K Kallarackal, ... arXiv preprint arXiv:2402.10524, 2024 | 2 | 2024 |
| From Discovery to Adoption: Understanding the ML Practitioners’ Interpretability Journey N Ashtari, R Mullins, C Qian, J Wexler, I Tenney, M Pushkarna Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2304-2325, 2023 | 1 | 2023 |
| Analyzing a caching model L Sixt, EZ Liu, M Pellat, J Wexler, M Hashemi, B Kim, M Maas arXiv preprint arXiv:2112.06989, 2021 | 1 | 2021 |
| ConstitutionalExperts: Training a Mixture of Principle-based Prompts S Petridis, B Wedin, A Yuan, J Wexler, N Thain arXiv preprint arXiv:2403.04894, 2024 | | 2024 |
| Take It, Leave It, or Fix It: Measuring Productivity and Trust in Human-AI Collaboration C Qian, J Wexler arXiv preprint arXiv:2402.18498, 2024 | | 2024 |
