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 |
|---|---|---|
| Language Modelling | 50 | 7.66% |
| Question Answering | 23 | 3.52% |
| Large Language Model | 21 | 3.22% |
| Retrieval | 20 | 3.06% |
| Semantic Segmentation | 17 | 2.60% |
| Decision Making | 16 | 2.45% |
| Object Detection | 10 | 1.53% |
| Class Incremental Learning | 10 | 1.53% |
| Incremental Learning | 10 | 1.53% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
