| Sanity checks for saliency maps J Adebayo, J Gilmer, M Muelly, I Goodfellow, M Hardt, B Kim NeurIPS, 2018 | 2390 | 2018 |
| The (un) reliability of saliency methods PJ Kindermans, S Hooker, J Adebayo, M Alber, KT Schütt, S Dähne, ... Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 267-280, 2019 | 814 | 2019 |
| Credit scoring in the era of big data M Hurley, J Adebayo Yale Journal of Law and Technology 18 (1), 5, 2017 | 501 | 2017 |
| Assessing the trustworthiness of saliency maps for localizing abnormalities in medical imaging N Arun, N Gaw, P Singh, K Chang, M Aggarwal, B Chen, K Hoebel, ... Radiology: Artificial Intelligence 3 (6), e200267, 2021 | 266* | 2021 |
| Debugging Tests for Model Explanations J Adebayo, M Muelly, I Liccardi, B Kim NeurIPS, 2020 | 204 | 2020 |
| Local explanation methods for deep neural networks lack sensitivity to parameter values J Adebayo, J Gilmer, I Goodfellow, B Kim ICLR Workshop, 2018 | 148 | 2018 |
| FairML: ToolBox for diagnosing bias in predictive modeling JA Adebayo Massachusetts Institute of Technology (Master's Thesis), 2016 | 125 | 2016 |
| Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation J Adebayo, M Muelly, H Abelson, B Kim ICLR, 2021 | 103 | 2021 |
| Iterative orthogonal feature projection for diagnosing bias in black-box models J Adebayo, L Kagal FAT/ML, 2016 | 87 | 2016 |
| Investigating human+ machine complementarity for recidivism predictions S Tan, J Adebayo, K Inkpen, E Kamar arXiv preprint arXiv:1808.09123, 2018 | 79 | 2018 |
| Dynamical structure function identifiability conditions enabling signal structure reconstruction J Adebayo, T Southwick, V Chetty, E Yeung, Y Yuan, J Goncalves, ... 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 4635-4641, 2012 | 54 | 2012 |
| Explaining explanations to society LH Gilpin, C Testart, N Fruchter, J Adebayo NeuRIPS Workshop, 2019 | 42 | 2019 |
| Explaining Maching Learning Predictions: State-of-the-art, Challenges, and Opportunities, December 2020 H Lakkaraju, J Adebayo, S Singh URL https://explainml-tutorial. github. io/neurips20, 2020 | 24* | 2020 |
| Mobile application development for crisis data A Jain, J Adebayo, E De Leon, W Li, L Kagal, P Meier, C Castillo Procedia Engineering 107, 255-262, 2015 | 19 | 2015 |
| An exploration of social identity: The structure of the BBC news‐sharing community on Twitter J Adebayo, M Tiziana, K Virdee, C Friedman Complexity 19 (5), 55-63, 2014 | 15 | 2014 |
| Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics J Adebayo, M Hall, B Yu, B Chern ICLR, 2023 | 10 | 2023 |
| Bayesian modeling suggests that IL-12 (p40), IL-13 and MCP-1 drive murine cytokine networks in vivo SL Field, T Dasgupta, M Cummings, RS Savage, J Adebayo, H McSara, ... BMC Systems Biology 9, 1-22, 2015 | 10 | 2015 |
| Concept bottleneck generative models AA Ismail*, J Adebayo*, HC Bravo, S Ra, K Cho ICLR, 2023 | 9 | 2023 |
| A privacy protection procedure for large scale individual level data J Adebayo, L Kagal IEEE ISI, 120-125, 2015 | 5 | 2015 |
| Towards Effective Tools for Debugging Machine Learning Models J Adebayo Massachusetts Institute of Technology (PhD Thesis), 2022 | 3 | 2022 |
