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Diane Bouchacourt
Diane Bouchacourt
Facebook AI Research
在 fb.com 的电子邮件经过验证 - 首页
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引用次数
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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
3222018
A benchmark for systematic generalization in grounded language understanding
L Ruis, J Andreas, M Baroni, D Bouchacourt, BM Lake
Advances in neural information processing systems 33, 19861-19872, 2020
1522020
Compositionality and generalization in emergent languages
R Chaabouni, E Kharitonov, D Bouchacourt, E Dupoux, M Baroni
arXiv preprint arXiv:2004.09124, 2020
1222020
Permutation equivariant models for compositional generalization in language
J Gordon, D Lopez-Paz, M Baroni, D Bouchacourt
International Conference on Learning Representations, 2019
1072019
How agents see things: On visual representations in an emergent language game
D Bouchacourt, M Baroni
arXiv preprint arXiv:1808.10696, 2018
922018
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
732019
Disco nets: Dissimilarity coefficients networks
D Bouchacourt, PK Mudigonda, S Nowozin
Advances in Neural Information Processing Systems 29, 2016
602016
Centralized predictive routing using delay predictability measurements
JP Vasseur, G Mermoud, D Bouchacourt
US Patent 9,736,056, 2017
432017
Birth of a transformer: A memory viewpoint
A Bietti, V Cabannes, D Bouchacourt, H Jegou, L Bottou
Advances in Neural Information Processing Systems 36, 2024
352024
Imagenet-x: Understanding model mistakes with factor of variation annotations
BY Idrissi, D Bouchacourt, R Balestriero, I Evtimov, C Hazirbas, N Ballas, ...
arXiv preprint arXiv:2211.01866, 2022
322022
Entropy minimization in emergent languages
E Kharitonov, R Chaabouni, D Bouchacourt, M Baroni
International Conference on Machine Learning, 5220-5230, 2020
312020
Probing technique for predictive routing in computer networks
G Mermoud, JP Vasseur, D Bouchacourt
US Patent 9,722,905, 2017
292017
Hierarchical hybrid batch-incremental learning
G Mermoud, JP Vasseur, D Bouchacourt
US Patent 9,547,828, 2017
292017
Educe: Explaining model decisions through unsupervised concepts extraction
D Bouchacourt, L Denoyer
arXiv preprint arXiv:1905.11852, 2019
262019
Grounding inductive biases in natural images: invariance stems from variations in data
D Bouchacourt, M Ibrahim, A Morcos
Advances in Neural Information Processing Systems 34, 19566-19579, 2021
242021
Disentanglement of correlated factors via hausdorff factorized support
K Roth, M Ibrahim, Z Akata, P Vincent, D Bouchacourt
arXiv preprint arXiv:2210.07347, 2022
232022
Miss tools and mr fruit: Emergent communication in agents learning about object affordances
D Bouchacourt, M Baroni
arXiv preprint arXiv:1905.11871, 2019
232019
Distributed predictive routing using delay predictability measurements
JP Vasseur, G Mermoud, D Bouchacourt
US Patent 9,525,617, 2016
212016
Think before you act: A simple baseline for compositional generalization
C Heinze-Deml, D Bouchacourt
arXiv preprint arXiv:2009.13962, 2020
152020
Pug: Photorealistic and semantically controllable synthetic data for representation learning
F Bordes, S Shekhar, M Ibrahim, D Bouchacourt, P Vincent, A Morcos
Advances in Neural Information Processing Systems 36, 2024
122024
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