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 | 267 | 2018 |
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 | 102 | 2020 |
How agents see things: On visual representations in an emergent language game D Bouchacourt, M Baroni arXiv preprint arXiv:1808.10696, 2018 | 76 | 2018 |
Compositionality and generalization in emergent languages R Chaabouni, E Kharitonov, D Bouchacourt, E Dupoux, M Baroni arXiv preprint arXiv:2004.09124, 2020 | 72 | 2020 |
Permutation equivariant models for compositional generalization in language J Gordon, D Lopez-Paz, M Baroni, D Bouchacourt International Conference on Learning Representations, 2020 | 71 | 2020 |
Disco nets: Dissimilarity coefficients networks D Bouchacourt, PK Mudigonda, S Nowozin Advances in Neural Information Processing Systems 29, 2016 | 59 | 2016 |
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 | 50 | 2019 |
Centralized predictive routing using delay predictability measurements JP Vasseur, G Mermoud, D Bouchacourt US Patent 9,736,056, 2017 | 36 | 2017 |
Probing technique for predictive routing in computer networks G Mermoud, JP Vasseur, D Bouchacourt US Patent 9,722,905, 2017 | 25 | 2017 |
Hierarchical hybrid batch-incremental learning G Mermoud, JP Vasseur, D Bouchacourt US Patent 9,547,828, 2017 | 22 | 2017 |
Entropy minimization in emergent languages E Kharitonov, R Chaabouni, D Bouchacourt, M Baroni International Conference on Machine Learning, 5220-5230, 2020 | 21 | 2020 |
Educe: Explaining model decisions through unsupervised concepts extraction D Bouchacourt, L Denoyer arXiv preprint arXiv:1905.11852, 2019 | 20 | 2019 |
Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances D Bouchacourt, M Baroni arXiv preprint arXiv:1905.11871, 2019 | 17 | 2019 |
Distributed predictive routing using delay predictability measurements JP Vasseur, G Mermoud, D Bouchacourt US Patent 9,525,617, 2016 | 17 | 2016 |
Think before you act: A simple baseline for compositional generalization C Heinze-Deml, D Bouchacourt arXiv preprint arXiv:2009.13962, 2020 | 12 | 2020 |
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 | 9 | 2021 |
Addressing the topological defects of disentanglement via distributed operators D Bouchacourt, M Ibrahim, S Deny arXiv preprint arXiv:2102.05623, 2021 | 7 | 2021 |
Mastering emergent language: learning to guide in simulated navigation M Mul, D Bouchacourt, E Bruni arXiv preprint arXiv:1908.05135, 2019 | 7 | 2019 |
Data compression system S Nowozin, R Tomioka, D Bouchacourt US Patent 10,158,859, 2018 | 7 | 2018 |
Task-oriented learning of structured probability distributions D Bouchacourt University of Oxford, 2017 | 7 | 2017 |