Model Compression
Pruning
Introduced by Li et al. in Pruning Filters for Efficient ConvNetsPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Network Pruning | 43 | 7.79% |
| Quantization | 37 | 6.70% |
| Model Compression | 35 | 6.34% |
| Language Modelling | 31 | 5.62% |
| Federated Learning | 19 | 3.44% |
| Image Classification | 18 | 3.26% |
| Computational Efficiency | 17 | 3.08% |
| Question Answering | 11 | 1.99% |
| Retrieval | 10 | 1.81% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
