Alexandre Ramé

According to our database, Alexandre Ramé authored at least 17 papers between 2017 and 2024.

Collaborative distances:

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

2024

Direct Language Model Alignment from Online AI Feedback.

Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares, Alexandre Ramé, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel

CoRR, 2024

WARM: On the Benefits of Weight Averaged Reward Models.

Alexandre Ramé, Nino Vieillard, Léonard Hussenot, Robert Dadashi, Geoffrey Cideron, Olivier Bachem, Johan Ferret

CoRR, 2024

2023

Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning.

Mustafa Shukor, Alexandre Ramé, Corentin Dancette, Matthieu Cord

CoRR, 2023

Unified Model for Image, Video, Audio and Language Tasks.

Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord

CoRR, 2023

Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards.

Alexandre Ramé, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization.

Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz

Proceedings of the International Conference on Machine Learning, 2023

2022

Recycling diverse models for out-of-distribution generalization.

Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz

CoRR, 2022

Diverse Weight Averaging for Out-of-Distribution Generalization.

Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization.

Alexandre Ramé, Corentin Dancette, Matthieu Cord

Proceedings of the International Conference on Machine Learning, 2022

Towards efficient feature sharing in MIMO architectures.

Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

CoRe: Color Regression for Multicolor Fashion Garments.

Alexandre Ramé, Arthur Douillard, Charles Ollion

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion.

Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation.

Alexandre Ramé, Matthieu Cord

Proceedings of the 9th International Conference on Learning Representations, 2021

MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks.

Alexandre Ramé, Rémy Sun, Matthieu Cord

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

CORE: Color Regression for Multiple Colors Fashion Garments.

Alexandre Ramé, Arthur Douillard, Charles Ollion

CoRR, 2020

2018

OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation.

Alexandre Ramé, Emilien Garreau, Hedi Ben-Younes, Charles Ollion

CoRR, 2018

2017

Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction.

Charles Corbière, Hédi Ben-Younes, Alexandre Ramé, Charles Ollion

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017