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Journal Articles
- 2023
[j1]Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Ameet Talwalkar:
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2024
- [c4]Nari Johnson
, Sanika Moharana, Christina N. Harrington, Nazanin Andalibi, Hoda Heidari, Motahhare Eslami:
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment. FAccT 2024: 337-358 - 2022
- [c3]Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju:
OpenXAI: Towards a Transparent Evaluation of Model Explanations. NeurIPS 2022 - [c2]Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar:
Use-Case-Grounded Simulations for Explanation Evaluation. NeurIPS 2022 - 2021
- [c1]Nari Johnson, Sonali Parbhoo, Andrew Slavin Ross, Finale Doshi-Velez:
Learning Predictive and Interpretable Timeseries Summaries from ICU Data. AMIA 2021
Informal and Other Publications
- 2024
- [i10]Nari Johnson, Sanika Moharana, Christina N. Harrington, Nazanin Andalibi, Hoda Heidari, Motahhare Eslami:
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment. CoRR abs/2404.13802 (2024) - [i9]Nari Johnson, Elise Silva, Harrison Leon, Motahhare Eslami, Beth Schwanke, Ravit Dotan, Hoda Heidari:
Public Procurement for Responsible AI? Understanding U.S. Cities' Practices, Challenges, and Needs. CoRR abs/2411.04994 (2024) - [i8]Samantha Dalal, Siobhan Mackenzie Hall, Nari Johnson:
Provocation: Who benefits from "inclusion" in Generative AI? CoRR abs/2411.09102 (2024) - 2023
- [i7]Nari Johnson, Ángel Alexander Cabrera, Gregory Plumb, Ameet Talwalkar:
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms. CoRR abs/2306.08167 (2023) - [i6]Nari Johnson, Hoda Heidari:
Assessing AI Impact Assessments: A Classroom Study. CoRR abs/2311.11193 (2023) - 2022
- [i5]Chirag Agarwal, Nari Johnson, Martin Pawelczyk, Satyapriya Krishna, Eshika Saxena, Marinka Zitnik, Himabindu Lakkaraju:
Rethinking Stability for Attribution-based Explanations. CoRR abs/2203.06877 (2022) - [i4]Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar:
Use-Case-Grounded Simulations for Explanation Evaluation. CoRR abs/2206.02256 (2022) - [i3]Chirag Agarwal, Eshika Saxena, Satyapriya Krishna, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju:
OpenXAI: Towards a Transparent Evaluation of Model Explanations. CoRR abs/2206.11104 (2022) - [i2]Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar:
Evaluating Systemic Error Detection Methods using Synthetic Images. CoRR abs/2207.04104 (2022) - 2021
- [i1]Nari Johnson, Sonali Parbhoo, Andrew Slavin Ross, Finale Doshi-Velez:
Learning Predictive and Interpretable Timeseries Summaries from ICU Data. CoRR abs/2109.11043 (2021)
Coauthor Index
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