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Analyzing Populations of Neural Networks via Dynamical Model Embedding
The specific model to be emulated is determined by a \emph{model embedding vector} that the meta-model takes as input; these model embedding vectors constitute a manifold corresponding to the given population of models.
Human-Machine Collaboration for Fast Land Cover Mapping
This bi-directional feedback loop allows humans to learn how the model responds to new data.
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