137 citations · 348 across the 31 of their papers we have counts for
6 papers · 1 filter
Focus on What's Informative and Ignore What's not: Communication Strategies in a Referential Game
Roberto Dessì, Diane Bouchacourt, Davide Crepaldi +1
Research in multi-agent cooperation has shown that artificial agents are able to learn to play a simple referential game while developing a shared lexicon. This lexicon is not easy…
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…
EGG: a toolkit for research on Emergence of lanGuage in Games
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt +1
There is renewed interest in simulating language emergence among deep neural agents that communicate to jointly solve a task, spurred by the practical aim to develop language-enabl…
Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances
Diane Bouchacourt, Marco Baroni
Recent research studies communication emergence in communities of deep network agents assigned a joint task, hoping to gain insights on human language evolution. We propose here a…
Entropy Minimization In Emergent Languages
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt +1
There is growing interest in studying the languages that emerge when neural agents are jointly trained to solve tasks requiring communication through a discrete channel. We investi…
EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction
Diane Bouchacourt, Ludovic Denoyer
Providing explanations along with predictions is crucial in some text processing tasks. Therefore, we propose a new self-interpretable model that performs output prediction and sim…