19 citations · 62 across the 17 of their papers we have counts for
8 papers · 1 filter
Learning to Request Guidance in Emergent Communication
Benjamin Kolb, Leon Lang, Henning Bartsch +6
Previous research into agent communication has shown that a pre-trained guide can speed up the learning process of an imitation learning agent. The guide achieves this by providing…
Location Attention for Extrapolation to Longer Sequences
Yann Dubois, Gautier Dagan, Dieuwke Hupkes +1
Neural networks are surprisingly good at interpolating and perform remarkably well when the training set examples resemble those in the test set. However, they are often unable to…
Mastering emergent language: learning to guide in simulated navigation
Mathijs Mul, Diane Bouchacourt, Elia Bruni
To cooperate with humans effectively, virtual agents need to be able to understand and execute language instructions. A typical setup to achieve this is with a scripted teacher whi…
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes, Verna Dankers, Mathijs Mul +1
Despite a multitude of empirical studies, little consensus exists on whether neural networks are able to generalise compositionally, a controversy that, in part, stems from a lack…
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue
Janosch Haber, Tim Baumgärtner, Ece Takmaz +3
This paper introduces the PhotoBook dataset, a large-scale collection of visually-grounded, task-oriented dialogues in English designed to investigate shared dialogue history accum…
Assessing incrementality in sequence-to-sequence models
Dennis Ulmer, Dieuwke Hupkes, Elia Bruni
Since their inception, encoder-decoder models have successfully been applied to a wide array of problems in computational linguistics. The most recent successes are predominantly d…
On the Realization of Compositionality in Neural Networks
Joris Baan, Jana Leible, Mitja Nikolaus +5
We present a detailed comparison of two types of sequence to sequence models trained to conduct a compositional task. The models are architecturally identical at inference time, bu…
Transcoding compositionally: using attention to find more generalizable solutions
Kris Korrel, Dieuwke Hupkes, Verna Dankers +1
While sequence-to-sequence models have shown remarkable generalization power across several natural language tasks, their construct of solutions are argued to be less compositional…