Learning Rate Schedules
1cycle learning rate scheduling policy
Introduced by Smith in A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decayPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| 3D Part Segmentation | 2 | 7.69% |
| Object Detection | 2 | 7.69% |
| Image Generation | 1 | 3.85% |
| Text-to-Image Generation | 1 | 3.85% |
| Text-to-Video Generation | 1 | 3.85% |
| Video Generation | 1 | 3.85% |
| Video Prediction | 1 | 3.85% |
| Neural Rendering | 1 | 3.85% |
| Novel View Synthesis | 1 | 3.85% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
