Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Bootstrapping neural processes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add bootstrap resampling and bagging to the base neural process | CNP · 1D regression Periodic | target log-likelihood: -1.747 -> -1.082 | Helped |
| Add bootstrap resampling and bagging to the attentive neural process | CANP · EMNIST unseen classes (10-46) | target log-likelihood: 0.834 -> 0.942 | Helped |
| Add bootstrap resampling and bagging to the attentive neural process | CANP · Predator-prey real | target log-likelihood: -8.007 -> -5.465 | Helped |
| Remove paired-bootstrap context resampling (ablation) | BNP · 1D regression Periodic | target log-likelihood: -1.089 -> -1.342 | Hurt |
| Remove the adaptation layer (ablation) | BNP · 1D regression RBF | target log-likelihood: 0.523 -> 0.455 | Hurt |
| Remove the adaptation layer (ablation) | BNP · 1D regression Periodic | target log-likelihood: -1.089 -> -0.845 | Helped |
| Remove the additional base-model loss (ablation) | BNP · 1D regression RBF | target log-likelihood: 0.523 -> 0.496 | Hurt |
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