Neural Architecture Search
HyperTree MetaModel
Introduced by Hundt et al. in The CoSTAR Block Stacking Dataset: Learning with Workspace ConstraintsOptimize combinations of various neural network models for multimodal data with bayseian optimization.
Source: The CoSTAR Block Stacking Dataset: Learning with Workspace ConstraintsPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| 6D Pose Estimation using RGBD | 1 | 14.29% |
| Industrial Robots | 1 | 14.29% |
| Object | 1 | 14.29% |
| Offline RL | 1 | 14.29% |
| Robotic Grasping | 1 | 14.29% |
| Robot Task Planning | 1 | 14.29% |
| Time Series Analysis | 1 | 14.29% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
