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Found 3 papers, 1 papers with code
Informed Meta-Learning
In noisy and low-data regimes prevalent in real-world applications, an outstanding challenge of machine learning lies in effectively incorporating inductive biases that promote data efficiency and robustness.
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
Despite the prevalence of tabular datasets, few-shot learning remains under-explored within this domain.
cegpy: Modelling with Chain Event Graphs in Python
However, there currently exists no software that allows a user to leverage the theoretical developments of the CEG model family in modelling processes with structural asymmetries.
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