Julius Adebayo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Visual Saliency

Top Venues

Publications

Aya Abdelsalam Ismail, Julius Adebayo, Héctor Corrada Bravo, Stephen Ra, Kyunghyun Cho
Concept Bottleneck Generative Models. ICLR (2024)
Fulton Wang, Julius Adebayo, Sarah Tan, Diego García-Olano, Narine Kokhlikyan
Error Discovery By Clustering Influence Embeddings. NeurIPS (2023)
Fulton Wang, Julius Adebayo, Sarah Tan, Diego García-Olano, Narine Kokhlikyan
Error Discovery by Clustering Influence Embeddings. CoRR (2023)
Julius Adebayo, Melissa Hall, Bowen Yu, Bobbie Chern
Quantifying and mitigating the impact of label errors on model disparity metrics. CoRR (2023)
Julius Adebayo, Melissa Hall, Bowen Yu, Bobbie Chern
Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics. ICLR (2023)
Julius Adebayo, Michael Muelly, Hal Abelson, Been Kim
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation. CoRR (2022)
Julius Adebayo, Michael Muelly, Harold Abelson, Been Kim
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation. ICLR (2022)
Julius Adebayo, Michael Muelly, Ilaria Liccardi, Been Kim
Debugging Tests for Model Explanations. NeurIPS (2020)
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 (2020)
Julius Adebayo, Michael Muelly, Ilaria Liccardi, Been Kim
Debugging Tests for Model Explanations. CoRR (2020)
Leilani H. Gilpin, Cecilia Testart, Nathaniel Fruchter, Julius Adebayo
Explaining Explanations to Society. CoRR (2019)
Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim
Sanity Checks for Saliency Maps. NeurIPS (2018)
Sarah Tan, Julius Adebayo, Kori Inkpen, Ece Kamar
Investigating Human + Machine Complementarity for Recidivism Predictions. CoRR (2018)
Julius Adebayo, Justin Gilmer, Ian J. Goodfellow, Been Kim
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values. ICLR (Workshop) (2018)
Julius Adebayo, Justin Gilmer, Ian J. Goodfellow, Been Kim
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values. CoRR (2018)
Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim
Sanity Checks for Saliency Maps. CoRR (2018)
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 (2017)
Julius Adebayo, Lalana Kagal
Iterative Orthogonal Feature Projection for Diagnosing Bias in Black-Box Models. CoRR (2016)
Julius Adebayo, Lalana Kagal
A privacy protection procedure for large scale individual level data. ISI (2015)
WeiHua James Li, Julius Adebayo, Fuming Shih, Lalana Kagal
Understanding the role of mobile technologies for humanitarian relief. ISCRAM (2015)
Sarah L. Field, Tathagata Dasgupta, Michele Cummings, Richard S. Savage, Julius Adebayo, Hema McSara, Jeremy Gunawardena, Nicolas M. Orsi
. BMC Syst. Biol. 9 (2015)
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) (2014)