meta-learning

Informed Meta-Learning
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
Feb 25, 2024
DOI PDF arXiv ICML workshop poster
Informed Meta-Learning
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
DOI arXiv PDF
Tabular Few-Shot Generalization Across Heterogenous Feature Spaces