Victor Bouvier

According to our database, Victor Bouvier authored at least 11 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Test-Time Adaptation with Principal Component Analysis.

Thomas Cordier, Victor Bouvier, Gilles Hénaff, Céline Hudelot

CoRR, 2022

Towards Clear Expectations for Uncertainty Estimation.

Victor Bouvier, Simona Maggio, Alexandre Abraham, Léo Dreyfus-Schmidt

CoRR, 2022

Performance Prediction Under Dataset Shift.

Simona Maggio, Victor Bouvier, Léo Dreyfus-Schmidt

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Towards Adaptive Learning with Invariant Representations. (Vers l'apprentissage adaptatif avec des représentations invariantes).

Victor Bouvier

PhD thesis, 2021

Stochastic Adversarial Gradient Embedding for Active Domain Adaptation.

Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift.

Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract).

Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Target Consistency for Domain Adaptation: when Robustness meets Transferability.

Yassine Ouali, Victor Bouvier, Myriam Tami, Céline Hudelot

CoRR, 2020

Robust Domain Adaptation: Representations, Weights and Inductive Bias.

Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets.

Victor Bouvier, Philippe Very, Céline Hudelot, Clément Chastagnol

CoRR, 2019

Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation.

Victor Bouvier, Philippe Very, Céline Hudelot, Clément Chastagnol

CoRR, 2019