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Alexandre Rame
- Doctorant
- Équipe: MLIA
Publications
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Alexandre Rame, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, et al.. Diverse Weight Averaging for Out-of-Distribution Generalization. Conference on Neural Information Processing Systems, Nov 2022, New-Orleans, United States. ⟨hal-03891267⟩
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- Alexandre Ramé, Corentin Dancette, Matthieu Cord. Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization. ICML, Jul 2022, Baltimore, United States. ⟨hal-03951454⟩
- Matthieu Cord, Arthur Douillard, Alexandre Ramé, Guillaume Couairon. DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States. ⟨10.1109/CVPR52688.2022.00907⟩. ⟨hal-03997873⟩
- Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord. Towards efficient feature sharing in MIMO architectures. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun 2022, New Orleans, United States. pp.2696-2700, ⟨10.1109/CVPRW56347.2022.00303⟩. ⟨hal-03951737⟩
- Alexandre Rame, Corentin Dancette, Matthieu Cord. Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization. 39th International Conference on Machine Learning (ICML 2022), Apr 2022, Baltimore, MD, United States. pp.18347--18377. ⟨hal-03944846⟩
