Selected publications (Complete list)

Group Robust Classification Without Any Group Information
C. Tsirigotis, J. Monteiro, P. Rodríguez, D. Vázquez, A. Courville.
NeurIPS 2023. https://arxiv.org/abs/2310.18555/

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
C. Guilles-Escuret, P. Rodríguez, D. Vázquez, I. Mitliagkas, J. Monteiro.
NeurIPS 2023. https://openreview.net/pdf?id=QRAS5wSgEy/

Constraining Representations Yields Models That Know What They Don’t Know
J. Monteiro, XP. Rodríguez, P. A. Noël, I. Laradji, D. Vázquez.
ICLR 2023. https://arxiv.org/abs/2208.14488/

Multilingual Code Retrieval Without Paired Data: A New Benchmark and Experiments
J. Monteiro, T. Scholak, V. Mehta, D. Vázquez, C. Pal.
Deep Learning for Code workshop, ICLR 2023. https://dl4c.github.io/assets/pdf/papers/12.pdf/

StarCoder: may the source be with you!
Lengthy author list omitted.
TMLR 2023. https://openreview.net/pdf?id=KoFOg41haE/

Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification
J. Monteiro, M. O. Ahmed, H. Hajimirsadeghi, G. Mori.
UAI 2022. https://proceedings.mlr.press/v180/monteiro22a.html/

Estimating Distribution Shifts for Predicting Cross-Subject Generalization in Electroencephalography-based Mental Workload Assessment
I. Albuquerque, J. Monteiro, O. Rosanne, T. Falk.
Frontiers in Artificial Intelligence 2022. https://www.frontiersin.org/articles/10.3389/frai.2022.992732/full/

Not Too Close and Not Too Far: Enforcing Monotonicity Requires Penalizing The Right Points
J. Monteiro, M. O. Ahmed, H. Hajimirsadeghi, G. Mori.
eXplainable AI approaches for debugging and diagnosis workshop at NeurIPS 2021. https://openreview.net/pdf?id=xdFqKVlDHnY

Domain Conditional Predictors for Domain Adaptation
J. Monteiro, X. Gibert, J. Feng, V. Dumoulin, D.S. Lee.
Pre-registration workshop, NeurIPS 2020. https://research.google/pubs/pub49830/

An end-to-end approach for the verification problem: learning the right distance
J. Monteiro, I. Albuquerque, J. Alam, R. D. Hjelm, T. Falk.
37th International Conference on Machine Learning (ICML), 2020. arXiv:2002.09469

Generalizing to unseen domains via distribution matching
I. Albuquerque, J. Monteiro, M. Darvishi, T. Falk, I. Mitliagkas.
Uncertainty and Robustness in Deep Learning Workshop at ICML, 2020. arXiv:1911.00804

An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers
J. Monteiro, J. Alam, T. Falk.
45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.

Multi-task self-supervised learning for Robust Speech Recognition
M. Ravanelli, J. Zhong, S. Pascual, P. Swietojanski, J. Monteiro, J. Trmal, Y. Bengio.
45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. arXiv:2001.09239

Multi-objective training of Generative Adversarial Networks with multiple discriminators
J. Monteiro*, I. Albuquerque*, T. Doang, B. Considine, T. Falk, I. Mitliagkas
36th International Conference on Machine Learning (ICML), 2019. arxiv:1901.08680 * Equal contribution

Online Adaptative Curriculum Learning for GANs
T. Doan, J. Monteiro, I. Albuquerque, B. Mazoure, A. Durand, J. Pineau, R. D. Hjelm.
The 33rd AAAI Conference on Artificial Intelligence, 2019. arXiv:1808.00020