Papers by Jianlong Tan
Dynamic Nonlinear Mixup with Distance-based Sample Selection (2022.coling-1)
Copied to clipboard
| Challenge: | Existing methods to augment data with mixup are limited by the space of synthetic data and its regularization effect. |
| Approach: | They propose a dynamic nonlinear mixup with distance-based sample selection which generates multiple sample pairs based on the distance between each sample. |
| Outcome: | The proposed method outperforms state-of-the-art methods on multiple public datasets. |