Semi-Supervised Multimodal Representation Learning Through a Global Workspace.

Devillers B, Maytie L, VanRullen R

Open source

DOI
10.1109/tnnls.2024.3416701
Published
2025 May
Container
IEEE transactions on neural networks and learning systems
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1109/tnnls.2024.3416701,
  title = {Semi-Supervised Multimodal Representation Learning Through a Global Workspace.},
  author = {Devillers B and Maytie L and VanRullen R},
  year = {2025},
  journal = {IEEE transactions on neural networks and learning systems},
  doi = {10.1109/tnnls.2024.3416701},
  url = {https://doi.org/10.1109/tnnls.2024.3416701}
}

RIS

TY  - JOUR
TI  - Semi-Supervised Multimodal Representation Learning Through a Global Workspace.
AU  - Devillers B
AU  - Maytie L
AU  - VanRullen R
PY  - 2025
JO  - IEEE transactions on neural networks and learning systems
DO  - 10.1109/tnnls.2024.3416701
UR  - https://doi.org/10.1109/tnnls.2024.3416701
ER  - 

APA

B, D., L, M., & R, V. (2025). Semi-Supervised Multimodal Representation Learning Through a Global Workspace.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2024.3416701

Source records