Out-of-distribution generalization via risk extrapolation (rex) D Krueger, E Caballero, JH Jacobsen, A Zhang, J Binas, D Zhang, ... International Conference on Machine Learning, 5815-5826, 2021 | 868 | 2021 |
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization K Ahuja, E Caballero, D Zhang, Y Bengio, I Mitliagkas, I Rish Advances in Neural Information Processing Systems, 2021 | 244 | 2021 |
In search of robust measures of generalization GK Dziugaite, A Drouin, B Neal, N Rajkumar, E Caballero, L Wang, ... Advances in Neural Information Processing Systems, 2020 | 103 | 2020 |
Broken Neural Scaling Laws E Caballero, K Gupta, I Rish, D Krueger International Conference on Learning Representations (ICLR) 2023, 2022 | 57 | 2022 |
Scaling Laws for the Out-of-Distribution Generalization of Image Classifiers G Prato, S Guiroy, E Caballero, I Rish, S Chandar | 8* | |
(Out-of-distribution?) generalization in deep learning E Caballero | | 2022 |
Scaling Laws for the Out-of-Distribution Generalization of Image Classifiers G Prato, S Guiroy, E Caballero, I Rish, S Chandar | | |