Learning from large amounts of unsupervised data and a small amount of
s...
The cornerstone of neural algorithmic reasoning is the ability to solve
...
The notion of concept has been studied for centuries, by philosophers,
l...
Reasoning with knowledge expressed in natural language and Knowledge Bas...
Recent advances in Neural Variational Inference allowed for a renaissanc...
Data efficiency and robustness to task-irrelevant perturbations are
long...
Neural models combining representation learning and reasoning in an
end-...
Many Machine Reading and Natural Language Understanding tasks require re...
Given that in practice training data is scarce for all but a small set o...