Regularization
Adaptive Label Smoothing
Introduced by Kim et al. in Efficient Model for Image Classification With Regularization Tricks
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Semantic Segmentation | 6 | 10.91% |
| General Classification | 4 | 7.27% |
| Language Modelling | 3 | 5.45% |
| Electromyography (EMG) | 3 | 5.45% |
| Classification | 3 | 5.45% |
| Collaborative Filtering | 3 | 5.45% |
| Specificity | 3 | 5.45% |
| Retrieval | 2 | 3.64% |
| Point Cloud Classification | 2 | 3.64% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
