Optimization
Surrogate Lagrangian Relaxation
Introduced by Gurevin et al. in Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian RelaxationPlease enter a description about the method here
Source: Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Sign Language Recognition | 9 | 23.68% |
| Machine Learning | 3 | 7.89% |
| Action Recognition | 2 | 5.26% |
| Domain Adaptation | 1 | 2.63% |
| Domain Generalization | 1 | 2.63% |
| Sign Language Translation | 1 | 2.63% |
| Anomaly Detection | 1 | 2.63% |
| Gesture Recognition | 1 | 2.63% |
| Machine Translation | 1 | 2.63% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
