Deep Tabular Learning
GrowNet
Introduced by Badirli et al. in Gradient Boosting Neural Networks: GrowNetGrowNet is a novel approach to combine the power of gradient boosting to incrementally build complex deep neural networks out of shallow components. It introduces a versatile framework that can readily be adapted for a diverse range of machine learning tasks in a wide variety of domains.
Source: Gradient Boosting Neural Networks: GrowNet
Papers
| Paper | Code | Results | Date | Stars |
|---|
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
