Julius Adebayo
Julius Adebayo
Guide Labs
Verified email at - Homepage
Cited by
Cited by
Sanity checks for saliency maps
J Adebayo, J Gilmer, M Muelly, I Goodfellow, M Hardt, B Kim
NeurIPS, 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
Credit scoring in the era of big data
M Hurley, J Adebayo
Yale Journal of Law and Technology 18 (1), 5, 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
Debugging Tests for Model Explanations
J Adebayo, M Muelly, I Liccardi, B Kim
NeurIPS, 2020
Local explanation methods for deep neural networks lack sensitivity to parameter values
J Adebayo, J Gilmer, I Goodfellow, B Kim
ICLR Workshop, 2018
FairML: ToolBox for diagnosing bias in predictive modeling
JA Adebayo
Massachusetts Institute of Technology (Master's Thesis), 2016
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation
J Adebayo, M Muelly, H Abelson, B Kim
ICLR, 2021
Iterative orthogonal feature projection for diagnosing bias in black-box models
J Adebayo, L Kagal
FAT/ML, 2016
Investigating human+ machine complementarity for recidivism predictions
S Tan, J Adebayo, K Inkpen, E Kamar
arXiv preprint arXiv:1808.09123, 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
Explaining explanations to society
LH Gilpin, C Testart, N Fruchter, J Adebayo
NeuRIPS Workshop, 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
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
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
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
Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
J Adebayo, M Hall, B Yu, B Chern
ICLR, 2023
A privacy protection procedure for large scale individual level data
J Adebayo, L Kagal
IEEE ISI, 120-125, 2015
Concept bottleneck generative models
AA Ismail*, J Adebayo*, HC Bravo, S Ra, K Cho
ICLR, 2023
Towards Effective Tools for Debugging Machine Learning Models
J Adebayo
Massachusetts Institute of Technology (PhD Thesis), 2022
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