Nari Johnson
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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
Use-case-grounded simulations for explanation evaluation
V Chen, N Johnson, N Topin, G Plumb, A Talwalkar
Advances in Neural Information Processing Systems, 2022
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models
G Plumb, N Johnson, ┴A Cabrera, A Talwalkar
Transactions on Machine Learning Research, 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
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
N Johnson, ┴A Cabrera, G Plumb, A Talwalkar
AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2023, 2023
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, andá…, 2024
Assessing AI Impact Assessments: A Classroom Study
N Johnson, H Heidari
NeurIPS Regulatable ML Workshop, 2023, 2023
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