As we know we can perform data augmentation to "image dataset". We can apply random rotation, shifts, shear and flips over images.
Are there techniques to augment tabular small dataset? I know the there are sampling (oversampling, undersampling) methods like SMOTE. But oversampling generate synthetic data that reduces the authenticity of actual data. Whereas in image augmentation we are generating new data by simply processing the original images which do not generate synthetic data.
So, is there any technique or idea that can be used to augment small tabular datasets by not generating synthetic data?