Active Learning
Balanced Selection
Introduced by Emam et al. in Active Learning at the ImageNet ScalePapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Question Answering | 27 | 4.99% |
| Language Modelling | 18 | 3.33% |
| Object Detection | 17 | 3.14% |
| Meta-Learning | 16 | 2.96% |
| Image Classification | 15 | 2.77% |
| Federated Learning | 12 | 2.22% |
| Few-Shot Learning | 12 | 2.22% |
| Knowledge Distillation | 10 | 1.85% |
| Time Series | 9 | 1.66% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
