Multimodal Agents Grounded via Interactive Communication

Project Information

MAGIC

Grant agreement ID: 790369

DOI 10.3030/790369

Project terminated on 30 April 2020

EC signature date 19 April 2018

Start date 1 November 2018

End date 31 October 2020

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 158 121,60

EU contribution € 158 121,60

Coordinated by

UNIVERSIDAD POMPEU FABRA
Spain

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (4)

On the realization of compositionality in neural networks

Author(s): J. Baan, j. Leible, M. Nikolaus, D. Rau, T. Baumgärtner, D. Hupkes and E. Bruni
Published in: Proceedings of the Second BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2019
Publisher: ACL

Transcoding compositionally: using attention to find more generalizable solutions

Author(s): Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni
Published in: 2019
Publisher: ACL

Location Attention for Extrapolation to Longer Sequences

Author(s): Yann Dubois, Gautier Dagan, Dieuwke Hupkes, Elia Bruni
Published in: 2020
Publisher: ACL

Assessing incrementality in sequence-to-sequence models

Author(s): D Ulmer, D Hupkes, E Bruni
Published in: Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019), 2019
Publisher: ACL

Other (6)

Mastering emergent language: learning to guide in simulated navigation

Author(s): Mathijs Mul, Diane Bouchacourt, Elia Bruni
Published in: 2019
Publisher: arXiv

Incentivizing the Emergence of Grounded Discrete Communication Between General Agents

Author(s): Thomas A. Unger, Elia Bruni
Published in: 2020
Publisher: arXiv

Co-evolution of language and agents in referential games

Author(s): Gautier Dagan, Dieuwke Hupkes, Elia Bruni
Published in: 2020
Publisher: arXiv

Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning

Author(s): Michiel van der Meer, Matteo Pirotta, Elia Bruni
Published in: 2020
Publisher: arXiv

Compositional properties of emergent languages in deep learning

Author(s): Bence Keresztury, Elia Bruni
Published in: 2020
Publisher: arXiv

Internal and external pressures on language emergence: least effort, object constancy and frequency

Author(s): Diana Rodríguez Luna, Edoardo Maria Ponti, Dieuwke Hupkes, Elia Bruni
Published in: 2020
Publisher: arXiv

Peer reviewed articles (1)

Compositionality Decomposed: How do Neural Networks Generalise?

Author(s): Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni
Published in: Journal of Artificial Intelligence Research, Issue 67, 2020, Page(s) 757-795, ISSN 1076-9757
Publisher: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.11674