Methods › Computer Vision › Adversarial Image Data Augmentation › MaxUp
MaxUp
Introduced by Chengyue Gong et al. in MaxUp: A Simple Way to Improve Generalization of Neural Network Training
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
MaxUp is an adversarial data augmentation technique for improving the generalization performance of machine learning models. The idea is to generate a set of augmented data with some random perturbations or transforms, and minimize the maximum, or worst case loss over the augmented data. By doing so, we implicitly introduce a smoothness or robustness regularization against the random perturbations, and hence improve the generation performance. For example, in the case of Gaussian perturbation, MaxUp is asymptotically equivalent to using the gradient norm of the loss as a penalty to encourage smoothness.
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training 19 Jun 2021 · 0 repositories
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MaxUp: A Simple Way to Improve Generalization of Neural Network Training 20 Feb 2020 · 1 repository · arXiv:2002.09024Syntology ran 0 of 1 samples · 1 unverified
Tasks archive 2025-07-28
7 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Image Classification | 2 |
| Language Modeling | 2 |
| Language Modelling | 2 |
| image-classification | 2 |
| Data Augmentation | 1 |
| Few-Shot Image Classification | 1 |
| General Classification | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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