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2020 – today
- 2024
[j1]Léopold Maytié, Benjamin Devillers, Alexandre Arnold, Rufin VanRullen:
Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global Workspace. RLJ 3: 1410-1426 (2024)- [i3]Léopold Maytié, Benjamin Devillers, Alexandre Arnold, Rufin VanRullen:
Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global Workspace. CoRR abs/2403.04588 (2024) - 2023
- [i2]Benjamin Devillers, Léopold Maytié, Rufin VanRullen:
Semi-supervised Multimodal Representation Learning through a Global Workspace. CoRR abs/2306.15711 (2023) - 2022
- [b1]Benjamin Devillers:
How to train your global workspace?: Evaluating and efficiently learning multimodal representations. (Comment apprendre son espace de travail global?: Évaluer et apprendre efficacement des représentations multimodales). Paul Sabatier University, Toulouse, France, 2022 - [c3]Romain Bielawski, Benjamin Devillers, Tim Van de Cruys, Rufin VanRullen
:
When does CLIP generalize better than unimodal models? When judging human-centric concepts. RepL4NLP@ACL 2022: 29-38 - 2021
- [c2]Benjamin Devillers, Bhavin Choksi, Romain Bielawski, Rufin VanRullen:
Does language help generalization in vision models? CoNLL 2021: 171-182 - [i1]Benjamin Devillers, Romain Bielawski, Bhavin Choksi, Rufin VanRullen:
Does language help generalization in vision models? CoRR abs/2104.08313 (2021)
2010 – 2019
- 2019
- [c1]Adrien Benamira, Benjamin Devillers, Etienne Lesot, Ayush K. Ray, Manal Saadi, Fragkiskos D. Malliaros:
Semi-supervised learning and graph neural networks for fake news detection. ASONAM 2019: 568-569
Coauthor Index
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