Dimensionality Reduction
Variational Inference
Introduced by Cemgil et al. in Autoencoding Variational AutoencoderPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Uncertainty Quantification | 44 | 8.80% |
| Decision Making | 15 | 3.00% |
| regression | 14 | 2.80% |
| Decoder | 14 | 2.80% |
| Computational Efficiency | 12 | 2.40% |
| Denoising | 12 | 2.40% |
| Clustering | 11 | 2.20% |
| Deep Learning | 10 | 2.00% |
| Federated Learning | 10 | 2.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
