Adaptive Computation
PonderNet
Introduced by Banino et al. in PonderNet: Learning to PonderPonderNet is an adaptive computation method that learns to adapt the amount of computation based on the complexity of the problem at hand. PonderNet learns end-to-end the number of computational steps to achieve an effective compromise between training prediction accuracy, computational cost and generalization.
Source: PonderNet: Learning to Ponder
Papers
| Paper | Code | Results | Date | Stars |
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
