Ensembling
Mixture of Experts
Introduced by Kanwal et al. in Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offsPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Computational Efficiency | 3 | 5.26% |
| Visual Question Answering | 2 | 3.51% |
| Language Modelling | 2 | 3.51% |
| Multi-Task Learning | 2 | 3.51% |
| Quantization | 2 | 3.51% |
| GSM8K | 1 | 1.75% |
| StrategyQA | 1 | 1.75% |
| Image Captioning | 1 | 1.75% |
| Instruction Following | 1 | 1.75% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
