Alexandre Ramé

According to our database, Alexandre Ramé authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Gemma 2: Improving Open Language Models at a Practical Size.

Morgane Rivière, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhupatiraju, Léonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ramé, Johan Ferret, Peter Liu, Pouya Tafti, Abe Friesen, Michelle Casbon, Sabela Ramos, Ravin Kumar, Charline Le Lan, Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin, Nikola Momchev, Matt Hoffman, Shantanu Thakoor, Jean-Bastien Grill, Behnam Neyshabur, Olivier Bachem, Alanna Walton, Aliaksei Severyn, Alicia Parrish, Aliya Ahmad, Allen Hutchison, Alvin Abdagic, Amanda Carl, Amy Shen, Andy Brock, Andy Coenen, Anthony Laforge, Antonia Paterson, Ben Bastian, Bilal Piot, Bo Wu, Brandon Royal, Charlie Chen, Chintu Kumar, Chris Perry, Chris Welty, Christopher A. Choquette-Choo, Danila Sinopalnikov, David Weinberger, Dimple Vijaykumar, Dominika Rogozinska, Dustin Herbison, Elisa Bandy, Emma Wang, Eric Noland, Erica Moreira, Evan Senter, Evgenii Eltyshev, Francesco Visin, Gabriel Rasskin, Gary Wei, Glenn Cameron, Gus Martins, Hadi Hashemi, Hanna Klimczak-Plucinska, Harleen Batra, Harsh Dhand, Ivan Nardini, Jacinda Mein, Jack Zhou, James Svensson, Jeff Stanway, Jetha Chan, Jin Peng Zhou, Joana Carrasqueira, Joana Iljazi, Jocelyn Becker, Joe Fernandez, Joost van Amersfoort, Josh Gordon, Josh Lipschultz, Josh Newlan, Ju-yeong Ji, Kareem Mohamed, Kartikeya Badola, Kat Black, Katie Millican, Keelin McDonell, Kelvin Nguyen, Kiranbir Sodhia, Kish Greene, Lars Lowe Sjösund, Lauren Usui, Laurent Sifre, Lena Heuermann, Leticia Lago, Lilly McNealus

CoRR, 2024

Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning.

Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent

CoRR, 2024

BOND: Aligning LLMs with Best-of-N Distillation.

Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Ramé, Bobak Shahriari, Sarah Perrin, Abe Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos, Amélie Héliou, Aliaksei Severyn, Matt Hoffman, Nikola Momchev, Olivier Bachem

CoRR, 2024

WARP: On the Benefits of Weight Averaged Rewarded Policies.

Alexandre Ramé, Johan Ferret, Nino Vieillard, Robert Dadashi, Léonard Hussenot, Pierre-Louis Cedoz, Pier Giuseppe Sessa, Sertan Girgin, Arthur Douillard, Olivier Bachem

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning.

Mustafa Shukor, Alexandre Ramé, Corentin Dancette, Matthieu Cord

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Diverse and efficient ensembling of deep networks. (De la diversification et combinaison efficace des réseaux profonds).

Alexandre Ramé

PhD thesis, 2023

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

Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord

Trans. Mach. Learn. Res., 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