Ethan Caballero

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 9

Top Topics

Information Bottleneck

Top Venues

Publications

Ethan Caballero, Kshitij Gupta, Irina Rish, David Krueger
Broken Neural Scaling Laws. ICLR (2023)
Ethan Caballero, Kshitij Gupta, Irina Rish, David Krueger
Broken Neural Scaling Laws. CoRR (2022)
Gabriele Prato, Simon Guiroy, Ethan Caballero, Irina Rish, Sarath Chandar
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers. CoRR (2021)
David Krueger, Ethan Caballero, Jörn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Dinghuai Zhang, Rémi Le Priol, Aaron C. Courville
Out-of-Distribution Generalization via Risk Extrapolation (REx). ICML (2021)
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Jean-Christophe Gagnon-Audet, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization. NeurIPS (2021)
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization. CoRR (2021)
Gintare Karolina Dziugaite, Alexandre Drouin, Brady Neal, Nitarshan Rajkumar, Ethan Caballero, Linbo Wang, Ioannis Mitliagkas, Daniel M. Roy
In search of robust measures of generalization. NeurIPS (2020)
David Krueger, Ethan Caballero, Jörn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Rémi Le Priol, Aaron C. Courville
Out-of-Distribution Generalization via Risk Extrapolation (REx). CoRR (2020)
Gintare Karolina Dziugaite, Alexandre Drouin, Brady Neal, Nitarshan Rajkumar, Ethan Caballero, Linbo Wang, Ioannis Mitliagkas, Daniel M. Roy
In Search of Robust Measures of Generalization. CoRR (2020)
Ethan Caballero
Skip-Thought Memory Networks. CoRR (2015)