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ORCIDJulius Adebayo
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2020 – today
- 2024
[c9]Aya Abdelsalam Ismail, Julius Adebayo, Héctor Corrada Bravo, Stephen Ra, Kyunghyun Cho:
Concept Bottleneck Generative Models. ICLR 2024- 2023
- [c8]Julius Adebayo, Melissa Hall, Bowen Yu, Bobbie Chern:
Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics. ICLR 2023 - [c7]Fulton Wang, Julius Adebayo, Sarah Tan, Diego García-Olano, Narine Kokhlikyan:
Error Discovery By Clustering Influence Embeddings. NeurIPS 2023 - [i11]Julius Adebayo, Melissa Hall, Bowen Yu, Bobbie Chern:
Quantifying and mitigating the impact of label errors on model disparity metrics. CoRR abs/2310.02533 (2023) - [i10]Fulton Wang, Julius Adebayo, Sarah Tan, Diego García-Olano, Narine Kokhlikyan:
Error Discovery by Clustering Influence Embeddings. CoRR abs/2312.04712 (2023) - 2022
- [b1]Julius Adebayo:
Towards Effective Tools for Debugging Machine Learning Models. MIT, USA, 2022 - [c6]Julius Adebayo, Michael Muelly, Harold Abelson, Been Kim:
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation. ICLR 2022 - [i9]Julius Adebayo, Michael Muelly, Hal Abelson, Been Kim:
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation. CoRR abs/2212.04629 (2022) - 2020
- [c5]Julius Adebayo, Michael Muelly, Ilaria Liccardi, Been Kim:
Debugging Tests for Model Explanations. NeurIPS 2020 - [i8]Nishanth Thumbavanam Arun, Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen, Katharina Hoebel, Sharut Gupta, Jay B. Patel, Mishka Gidwani, Julius Adebayo, Matthew D. Li, Jayashree Kalpathy-Cramer:
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. CoRR abs/2008.02766 (2020) - [i7]Julius Adebayo, Michael Muelly, Ilaria Liccardi, Been Kim:
Debugging Tests for Model Explanations. CoRR abs/2011.05429 (2020)
2010 – 2019
- 2019
- [p1]Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim:
The (Un)reliability of Saliency Methods. Explainable AI 2019: 267-280 - [i6]Leilani H. Gilpin, Cecilia Testart, Nathaniel Fruchter, Julius Adebayo:
Explaining Explanations to Society. CoRR abs/1901.06560 (2019) - 2018
- [c4]Julius Adebayo, Justin Gilmer, Ian J. Goodfellow, Been Kim:
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values. ICLR (Workshop) 2018 - [c3]Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim:
Sanity Checks for Saliency Maps. NeurIPS 2018: 9525-9536 - [i5]Sarah Tan, Julius Adebayo, Kori Inkpen, Ece Kamar:
Investigating Human + Machine Complementarity for Recidivism Predictions. CoRR abs/1808.09123 (2018) - [i4]Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim:
Sanity Checks for Saliency Maps. CoRR abs/1810.03292 (2018) - [i3]Julius Adebayo, Justin Gilmer, Ian J. Goodfellow, Been Kim:
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values. CoRR abs/1810.03307 (2018) - 2017
- [i2]Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim:
The (Un)reliability of saliency methods. CoRR abs/1711.00867 (2017) - 2016
- [i1]Julius Adebayo, Lalana Kagal:
Iterative Orthogonal Feature Projection for Diagnosing Bias in Black-Box Models. CoRR abs/1611.04967 (2016) - 2015
- [j2]Sarah L. Field, Tathagata Dasgupta, Michele Cummings, Richard S. Savage
, Julius Adebayo, Hema McSara, Jeremy Gunawardena, Nicolas M. Orsi:
Bayesian modeling suggests that IL-12 (p40), IL-13 and MCP-1 drive murine cytokine networks in vivo. BMC Syst. Biol. 9: 76 (2015) - [c2]WeiHua James Li, Julius Adebayo, Fuming Shih, Lalana Kagal:
Understanding the role of mobile technologies for humanitarian relief. ISCRAM 2015 - [c1]Julius Adebayo, Lalana Kagal:
A privacy protection procedure for large scale individual level data. ISI 2015: 120-125 - 2014
- [j1]Julius Adebayo, Musso Tiziana, Kawandeep Virdee, Casey Friedman, Yaneer Bar-Yam:
An exploration of social identity: The structure of the BBC news-sharing community on Twitter. Complex. 19(5): 55-63 (2014)
Coauthor Index
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