Authors:
(1) Nora Schneider, Computer Science Department, ETH Zurich, Zurich, Switzerland ([email protected]);
(2) Shirin Goshtasbpour, Computer Science Department, ETH Zurich, Zurich, Switzerland and Swiss Data Science Center, Zurich, Switzerland ([email protected]);
(3) Fernando Perez-Cruz, Computer Science Department, ETH Zurich, Zurich, Switzerland and Swiss Data Science Center, Zurich, Switzerland ([email protected]).
Table of Links
2 Background
3.1 Comparison to C-Mixup and 3.2 Preserving nonlinear data structure
4 Experiments and 4.1 Linear synthetic data
4.2 Housing nonlinear regression
4.3 In-distribution Generalization
4.4 Out-of-distribution Robustness
5 Conclusion, Broader Impact, and References
A Additional information for Anchor Data Augmentation
3.1 Comparison to C-Mixup
3.2 Preserving nonlinear data structure
The AR modification Equations 5 and 6 do not preserve the nonlinear relation between the target and predictors,
This paper is available on arxiv under CC0 1.0 DEED license.