Diane Bouchacourt
Diane Bouchacourt
Facebook AI Research
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
Multi-level variational autoencoder: Learning disentangled representations from grouped observations
D Bouchacourt, R Tomioka, S Nowozin
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
1322018
How agents see things: On visual representations in an emergent language game
D Bouchacourt, M Baroni
arXiv preprint arXiv:1808.10696, 2018
462018
Disco nets: Dissimilarity coefficient networks
D Bouchacourt, MP Kumar, S Nowozin
arXiv preprint arXiv:1606.02556, 2016
422016
EGG: a toolkit for research on Emergence of lanGuage in Games
E Kharitonov, R Chaabouni, D Bouchacourt, M Baroni
arXiv preprint arXiv:1907.00852, 2019
232019
Probing technique for predictive routing in computer networks
G Mermoud, J Vasseur, D Bouchacourt
US Patent 9,722,905, 2017
202017
Centralized predictive routing using delay predictability measurements
J Vasseur, G Mermoud, D Bouchacourt
US Patent 9,736,056, 2017
192017
Permutation equivariant models for compositional generalization in language
J Gordon, D Lopez-Paz, M Baroni, D Bouchacourt
International Conference on Learning Representations, 2019
172019
A benchmark for systematic generalization in grounded language understanding
L Ruis, J Andreas, M Baroni, D Bouchacourt, BM Lake
arXiv preprint arXiv:2003.05161, 2020
132020
Compositionality and generalization in emergent languages
R Chaabouni, E Kharitonov, D Bouchacourt, E Dupoux, M Baroni
arXiv preprint arXiv:2004.09124, 2020
112020
Educe: Explaining model decisions through unsupervised concepts extraction
D Bouchacourt, L Denoyer
arXiv preprint arXiv:1905.11852, 2019
82019
Distributed predictive routing using delay predictability measurements
J Vasseur, G Mermoud, D Bouchacourt
US Patent 9,525,617, 2016
82016
Task-oriented learning of structured probability distributions
D Bouchacourt
University of Oxford, 2017
72017
Hierarchical hybrid batch-incremental learning
G Mermoud, J Vasseur, D Bouchacourt
US Patent 9,547,828, 2017
62017
Entropy-based latent structured output prediction
D Bouchacourt, S Nowozin, MP Kumar
Proceedings of the IEEE International Conference on Computer Vision, 2920-2928, 2015
52015
Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances
D Bouchacourt, M Baroni
arXiv preprint arXiv:1905.11871, 2019
42019
Data compression system
S Nowozin, R Tomioka, D Bouchacourt
US Patent 10,158,859, 2018
42018
Mastering emergent language: learning to guide in simulated navigation
M Mul, D Bouchacourt, E Bruni
arXiv preprint arXiv:1908.05135, 2019
32019
Information minimization in emergent languages
E Kharitonov, R Chaabouni, D Bouchacourt, M Baroni
arXiv preprint arXiv:1905.13687, 2019
32019
Entropy minimization in emergent languages
E Kharitonov, R Chaabouni, D Bouchacourt, M Baroni
International Conference on Machine Learning, 5220-5230, 2020
22020
NIPS 2017 Workshop on Learning Disentangled Representations: from Perception to Control, December 2017
D Bouchacourt, E Denton, T Kulkarni, H Lee, S Narayanaswamy, D Pfau, ...
2
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