Optimization
Evolved Sign Momentum
The Lion optimizer is discovered by symbolic program search. It is more memory-efficient than most adaptive optimizers as it only needs to momentum. The update of Lion is produced by the sign function.
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Federated Learning | 1 | 16.67% |
| Quantization | 1 | 16.67% |
| Handwritten Text Recognition | 1 | 16.67% |
| Offline RL | 1 | 16.67% |
| Image Classification | 1 | 16.67% |
| Language Modelling | 1 | 16.67% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
