You're currently viewing an old version of this dataset. To see the current version, click here.

Discrete-Valued Neural Communication

The dataset used in the paper is a visual reasoning task using Graph Neural Networks (GNNs) and Recurrent Independent Mechanisms (RIMs). The dataset consists of 8 Atari games and 3D shapes environment. The dataset is used to evaluate the performance of the Discrete-Valued Neural Communication (DVNC) method.

Data and Resources

This dataset has no data

Cite this as

Dianbo Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Curtis Mozer, Yoshua Bengio (2024). Dataset: Discrete-Valued Neural Communication. https://doi.org/10.57702/awnuwq98

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2107.02367
Author Dianbo Liu
More Authors
Alex Lamb
Kenji Kawaguchi
Anirudh Goyal
Chen Sun
Michael Curtis Mozer
Yoshua Bengio