Mila > Team > Ethan Caballero

Ethan Caballero

AGI Whisperer, Ph.D, Student, McGill University, Université de Montréal

website:
ethancaballero.github.io

x = ethan
y = victor
z = caballero

email adresses:
x.y.z@gmail.com
x.z@mila.quebec

Publications

2021-12

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Jean-Christophe Gagnon-Audet, Yoshua Bengio, Ioannis Mitliagkas and Irina Rish
NEURIPS 2021
(2021-12-06)
papers.nips.ccPDF

2021-09

Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers
Gabriele Prato, Simon Guiroy, Ethan Caballero, Irina Rish and Sarath Chandar
arXiv preprint arXiv:2110.06990
(2021-09-29)
ui.adsabs.harvard.eduPDF

2021-06

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Yoshua Bengio, Ioannis Mitliagkas and Irina Rish
arXiv: Learning
(2021-06-11)
ui.adsabs.harvard.eduPDF

2021-05

Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Dinghuai Zhang, Remi Le Priol and Aaron Courville

2020-01

In search of robust measures of generalization
Gintare Karolina Dziugaite, Alexandre Drouin, Brady Neal, Nitarshan Rajkumar, Ethan Caballero, Linbo Wang, Ioannis Mitliagkas and Daniel M. Roy

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