Efficient parallel generation of random field of mechanical properties for geophysical application L Paludo, V Bouvier, R Cottereau, D Clouteau 6th International Conference on Earthquake Geotechnical Engineering, 2015 | 24* | 2015 |
Bridging few-shot learning and adaptation: new challenges of support-query shift E Bennequin, V Bouvier, M Tami, A Toubhans, C Hudelot Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 18 | 2021 |
Robust domain adaptation: Representations, weights and inductive bias V Bouvier, P Very, C Chastagnol, M Tami, C Hudelot Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 14 | 2021 |
Hidden covariate shift: A minimal assumption for domain adaptation V Bouvier, P Very, C Hudelot, C Chastagnol arXiv preprint arXiv:1907.12299, 2019 | 11 | 2019 |
Performance prediction under dataset shift S Maggio, V Bouvier, L Dreyfus-Schmidt 2022 26th International Conference on Pattern Recognition (ICPR), 2466-2474, 2022 | 5 | 2022 |
Target consistency for domain adaptation: when robustness meets transferability Y Ouali, V Bouvier, M Tami, C Hudelot arXiv preprint arXiv:2006.14263, 2020 | 4 | 2020 |
Domain-invariant representations: A look on compression and weights V Bouvier, C Hudelot, C Chastagnol, P Very, M Tami | 3 | 2019 |
Stochastic adversarial gradient embedding for active domain adaptation V Bouvier, P Very, C Chastagnol, M Tami, C Hudelot arXiv preprint arXiv:2012.01843, 2020 | 2 | 2020 |
Test-Time Adaptation with Principal Component Analysis T Cordier, V Bouvier, G Hénaff, C Hudelot arXiv preprint arXiv:2209.05779, 2022 | 1 | 2022 |
Towards clear expectations for uncertainty estimation V Bouvier, S Maggio, A Abraham, L Dreyfus-Schmidt arXiv preprint arXiv:2207.13341, 2022 | 1 | 2022 |
Towards Adaptive Learning with Invariant Representations V Bouvier Université Paris-Saclay, 2021 | | 2021 |
Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets V Bouvier, P Very, C Hudelot, C Chastagnol arXiv preprint arXiv:1907.12305, 2019 | | 2019 |
Adversarial Word Embeddings to Improve Text Classifiers Generalization Power V Bouvier, C Hudelot, P Very | | |