| OpenXAI: Towards a Transparent Evaluation of Model Explanations C Agarwal, S Krishna, E Saxena, M Pawelczyk, N Johnson, I Puri, M Zitnik, ... Advances in neural information processing systems, 2022 | 187 | 2022 |
| Rethinking stability for attribution-based explanations C Agarwal, N Johnson, M Pawelczyk, S Krishna, E Saxena, M Zitnik, ... arXiv preprint arXiv:2203.06877, 2022 | 62 | 2022 |
| Use-case-grounded simulations for explanation evaluation V Chen, N Johnson, N Topin, G Plumb, A Talwalkar Advances in Neural Information Processing Systems, 2022 | 22 | 2022 |
| Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms N Johnson, ÁA Cabrera, G Plumb, A Talwalkar AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2023, 2023 | 13 | 2023 |
| Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models G Plumb, N Johnson, ÁA Cabrera, A Talwalkar Transactions on Machine Learning Research, 2023 | 8* | 2023 |
| Learning Predictive and Interpretable Timeseries Summaries from ICU Data N Johnson, S Parbhoo, AS Ross, F Doshi-Velez AMIA Annual Symposium Proceedings 2021, 581, 2021 | 8 | 2021 |
| The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment N Johnson, S Moharana, CN Harrington, N Andalibi, H Heidari, M Eslami Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024 | 3 | 2024 |
| Assessing AI Impact Assessments: A Classroom Study N Johnson, H Heidari NeurIPS Regulatable ML Workshop, 2023, 2023 | 2 | 2023 |
| Public Procurement for Responsible AI? Understanding US Cities' Practices, Challenges, and Needs N Johnson, E Silva, H Leon, M Eslami, B Schwanke, R Dotan, H Heidari arXiv preprint arXiv:2411.04994, 2024 | | 2024 |
| Provocation: Who benefits from" inclusion" in Generative AI? N Johnson, S Mackenzie Hall, S Dalal arXiv e-prints, arXiv: 2411.09102, 2024 | | 2024 |
Hoda HeidariCarnegie Mellon UniversityVerified email at cmu.edu
