Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
data augmentation technique
|
| gptkbp:appliesTo |
speech recognition
image classification tabular data |
| gptkbp:citation |
over 3000
|
| gptkbp:goal |
improve generalization
increase robustness to adversarial examples reduce memorization of corrupt labels |
| gptkbp:hasConcept |
training on convex combinations of pairs of examples and their labels
|
| https://www.w3.org/2000/01/rdf-schema#label |
Mixup
|
| gptkbp:influenced |
AugMix
CutMix Manifold Mixup |
| gptkbp:openSource |
gptkb:TensorFlow
gptkb:PyTorch |
| gptkbp:proposedBy |
2017
Hongyi Zhang |
| gptkbp:publishedIn |
gptkb:International_Conference_on_Learning_Representations_(ICLR)
|
| gptkbp:relatedTo |
data augmentation
label smoothing |
| gptkbp:usedIn |
gptkb:machine_learning
|
| gptkbp:bfsParent |
gptkb:Grupo_Sanborns
|
| gptkbp:bfsLayer |
7
|