565 citations · 1k across the 23 of their papers we have counts for
4 papers · 1 filter
The Fast and the Flexible: training neural networks to learn to follow instructions from small data
Rezka Leonandya, Elia Bruni, Dieuwke Hupkes +1
Learning to follow human instructions is a long-pursued goal in artificial intelligence. The task becomes particularly challenging if no prior knowledge of the employed language is…
Learning compositionally through attentive guidance
Dieuwke Hupkes, Anand Singh, Kris Korrel +2
While neural network models have been successfully applied to domains that require substantial generalisation skills, recent studies have implied that they struggle when solving th…
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, German Kruszewski, Guillaume Lample +2
Although much effort has recently been devoted to training high-quality sentence embeddings, we still have a poor understanding of what they are capturing. "Downstream" tasks, ofte…
Memorize or generalize? Searching for a compositional RNN in a haystack
Adam Liška, Germán Kruszewski, Marco Baroni
Neural networks are very powerful learning systems, but they do not readily generalize from one task to the other. This is partly due to the fact that they do not learn in a compos…