meta-learning

Towards Automated Knowledge Integration From Human-Interpretable Representations
We introduce the paradigm of informed meta-learning, a novel approach to inductive bias specification based on human knowledge represented in any form, including unstructured natural language.
Kasia Kobalczyk, Mihaela van der Schaar
Jan 22, 2025
openreview arXiv PDF code
Towards Automated Knowledge Integration From Human-Interpretable Representations
Tabular Few-Shot Generalization Across Heterogenous Feature Spaces
We introduce new tabular few-shot learning solution capable of knowledge sharing between datasets with heterogenous sets of columns.
Max Zhu, Kasia Kobalczyk, Andrija Petrovic, Mladen Nikolic, Mihaela van der Schaar, Pietro Lio, Boris Delibašić
Sep 22, 2023
arXiv PDF
Tabular Few-Shot Generalization Across Heterogenous Feature Spaces