Alexandre Ramé

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Gradient Vectors

Image Retrieval

Top Venues

Publications

Alexandre Ramé, Johan Ferret, Nino Vieillard, Robert Dadashi, Léonard Hussenot, Pierre-Louis Cedoz, Pier Giuseppe Sessa, Sertan Girgin, Arthur Douillard, Olivier Bachem
WARP: On the Benefits of Weight Averaged Rewarded Policies. CoRR (2024)
Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares, Alexandre Ramé, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel
Direct Language Model Alignment from Online AI Feedback. CoRR (2024)
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
BOND: Aligning LLMs with Best-of-N Distillation. CoRR (2024)
Mustafa Shukor, Alexandre Ramé, Corentin Dancette, Matthieu Cord
Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning. ICLR (2024)
Alexandre Ramé, Nino Vieillard, Léonard Hussenot, Robert Dadashi, Geoffrey Cideron, Olivier Bachem, Johan Ferret
WARM: On the Benefits of Weight Averaged Reward Models. CoRR (2024)
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
Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning. CoRR (2024)
Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord
Unified Model for Image, Video, Audio and Language Tasks. CoRR (2023)
Alexandre Ramé, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards. NeurIPS (2023)
Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks. Trans. Mach. Learn. Res. 2023 (2023)
Mustafa Shukor, Alexandre Ramé, Corentin Dancette, Matthieu Cord
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning. CoRR (2023)
Alexandre Ramé, Guillaume Couairon, Mustafa Shukor, Corentin Dancette, Jean-Baptiste Gaya, Laure Soulier, Matthieu Cord
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards. CoRR (2023)
Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization. ICML (2023)
Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. CVPR (2022)
Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS (2022)
Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord
Towards efficient feature sharing in MIMO architectures. CoRR (2022)
Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR (2022)
Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord
Towards efficient feature sharing in MIMO architectures. CVPR Workshops (2022)
Alexandre Ramé, Arthur Douillard, Charles Ollion
CoRe: Color Regression for Multicolor Fashion Garments. CVPR Workshops (2022)
Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz
Recycling diverse models for out-of-distribution generalization. CoRR (2022)
Alexandre Ramé, Corentin Dancette, Matthieu Cord
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization. ICML (2022)
Alexandre Ramé, Rémy Sun, Matthieu Cord
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. ICCV (2021)
Alexandre Ramé, Rémy Sun, Matthieu Cord
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. CoRR (2021)
Alexandre Ramé, Matthieu Cord
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation. ICLR (2021)
Alexandre Ramé, Corentin Dancette, Matthieu Cord
Fishr: Invariant Gradient Variances for Out-of-distribution Generalization. CoRR (2021)
Alexandre Ramé, Matthieu Cord
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation. CoRR (2021)
Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. CoRR (2021)
Alexandre Ramé, Arthur Douillard, Charles Ollion
CORE: Color Regression for Multiple Colors Fashion Garments. CoRR (2020)
Alexandre Ramé, Emilien Garreau, Hedi Ben-Younes, Charles Ollion
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation. CoRR (2018)
Charles Corbière, Hedi Ben-younes, Alexandre Ramé, Charles Ollion
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction. ICCV Workshops (2017)
Charles Corbière, Hedi Ben-younes, Alexandre Ramé, Charles Ollion
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction. CoRR (2017)