| 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 | 121* | 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 | 16 | 2022 |
| 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 | 4* | 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 | 3 | 2021 |
| 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 | 1 | 2023 |
| The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment N Johnson, S Moharana, CN Harrington, N Andalibi, H Heidari, M Eslami arXiv preprint arXiv:2404.13802, 2024 | | 2024 |
| Assessing AI Impact Assessments: A Classroom Study N Johnson, H Heidari NeurIPS Regulatable ML Workshop, 2023, 2023 | | 2023 |
Himabindu LakkarajuAssistant Professor, Harvard UniversityVerified email at seas.harvard.edu
