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 | 21 | 22.83% |
| Language Modelling | 3 | 3.26% |
| Management | 3 | 3.26% |
| Fairness | 3 | 3.26% |
| BIG-bench Machine Learning | 3 | 3.26% |
| Human Dynamics | 2 | 2.17% |
| Optical Flow Estimation | 2 | 2.17% |
| Sentence | 2 | 2.17% |
| Anomaly Detection | 2 | 2.17% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
