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 | 16.67% |
| General Classification | 4 | 11.11% |
| Collaborative Filtering | 3 | 8.33% |
| Specificity | 3 | 8.33% |
| Classification | 2 | 5.56% |
| Point Cloud Classification | 2 | 5.56% |
| Self-Supervised Learning | 1 | 2.78% |
| Tensor Networks | 1 | 2.78% |
| BIG-bench Machine Learning | 1 | 2.78% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
