Search Results for author:
Found 2 papers, 1 papers with code
Improved Compositional Generalization by Generating Demonstrations for Meta-Learning
Choosing good supports from the training data for a given test query is already a difficult problem, but in some cases solving this may not even be enough.
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity
We provide a study of how induced model sparsity can help achieve compositional generalization and better sample efficiency in grounded language learning problems.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
