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Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics


Sep 20, 2022
Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj, David Krueger, Sara Hooker


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Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models


Dec 28, 2021
Enoch Tetteh, Joseph Viviano, Yoshua Bengio, David Krueger, Joseph Paul Cohen

* MED-NEURIPS 2021 

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Multi-Domain Balanced Sampling Improves Out-of-Generalization of Chest X-ray Pathology Prediction Models


Dec 27, 2021
Enoch Tetteh, Joseph Viviano, Yoshua Bengio, David Krueger, Joseph Paul Cohen

* MED-NEURIPS 2021 

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Filling gaps in trustworthy development of AI


Dec 14, 2021
Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine Wang, Adrian Weller, Markus Anderljung, Igor Krawczuk, David Krueger, Jonathan Lebensold, Tegan Maharaj, Noa Zilberman

* Science (2021) Vol 374, Issue 6573, pp. 1327-1329 

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Active Reinforcement Learning: Observing Rewards at a Cost


Nov 24, 2020
David Krueger, Jan Leike, Owain Evans, John Salvatier

* Originally appeared at the NeurIPS 2016 "Future of Interactive Learning Machines (FILM)" workshop 

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Hidden Incentives for Auto-Induced Distributional Shift


Sep 19, 2020
David Krueger, Tegan Maharaj, Jan Leike


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AI Research Considerations for Human Existential Safety (ARCHES)


May 30, 2020
Andrew Critch, David Krueger


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Out-of-Distribution Generalization via Risk Extrapolation (REx)


Mar 13, 2020
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Remi Le Priol, Aaron Courville


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