Value Function Estimation
High-Order Consensuses
Introduced by Zhu et al. in Clusterability as an Alternative to Anchor Points When Learning with Noisy LabelsPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Decision Making | 23 | 5.85% |
| BIG-bench Machine Learning | 14 | 3.56% |
| Retrieval | 13 | 3.31% |
| Fairness | 10 | 2.54% |
| Clustering | 9 | 2.29% |
| Management | 9 | 2.29% |
| Anomaly Detection | 7 | 1.78% |
| Semantic Segmentation | 7 | 1.78% |
| Federated Learning | 7 | 1.78% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
