Ramé, Alexandre

20 publications

ICLR 2025 BOND: Aligning LLMs with Best-of-N Distillation Pier Giuseppe Sessa, Robert Dadashi-Tazehozi, Leonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Rame, Bobak Shahriari, Sarah Perrin, Abram L. Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos Garea, Amélie Héliou, Aliaksei Severyn, Matthew Hoffman, Nikola Momchev, Olivier Bachem

ICLR 2025 Diversity-Rewarded CFG Distillation Geoffrey Cideron, Andrea Agostinelli, Johan Ferret, Sertan Girgin, Romuald Elie, Olivier Bachem, Sarah Perrin, Alexandre Rame

ICML 2025 On Teacher Hacking in Language Model Distillation Daniil Tiapkin, Daniele Calandriello, Johan Ferret, Sarah Perrin, Nino Vieillard, Alexandre Rame, Mathieu Blondel

ICLR 2024 Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context-Learning Mustafa Shukor, Alexandre Rame, Corentin Dancette, Matthieu Cord

NeurIPSW 2024 Conditional 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, Kumar Avinava Dubey, Alexandre Rame, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Leonard Hussenot, Olivier Bachem, Edouard Leurent

ICML 2024 WARM: On the Benefits of Weight Averaged Reward Models Alexandre Rame, Nino Vieillard, Leonard Hussenot, Robert Dadashi-Tazehozi, Geoffrey Cideron, Olivier Bachem, Johan Ferret

ICML 2023 Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou, David Lopez-Paz

NeurIPS 2023 Rewarded Soups: Towards Pareto-Optimal Alignment by Interpolating Weights Fine-Tuned on Diverse Rewards Alexandre Rame, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord

ICMLW 2023 Rewarded Soups: Towards Pareto-Optimal Alignment by Interpolating Weights Fine-Tuned on Diverse Rewards Alexandre Rame, Guillaume Couairon, Corentin Dancette, Mustafa Shukor, Jean-Baptiste Gaya, Laure Soulier, Matthieu Cord

ICMLW 2023 Rewarded Soups: Towards Pareto-Optimal Alignment by Interpolating Weights Fine-Tuned on Diverse Rewards Alexandre Rame, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord

TMLR 2023 UnIVAL: Unified Model for Image, Video, Audio and Language Tasks Mustafa Shukor, Corentin Dancette, Alexandre Rame, Matthieu Cord

CVPRW 2022 CoRe: Color Regression for Multicolor Fashion Garments Alexandre Ramé, Arthur Douillard, Charles Ollion

NeurIPS 2022 Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Rame, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord

CVPR 2022 DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord

ICML 2022 Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Rame, Corentin Dancette, Matthieu Cord

NeurIPSW 2022 Pre-Train, Fine-Tune, Interpolate: A Three-Stage Strategy for Domain Generalization Alexandre Rame, Jianyu Zhang, Leon Bottou, David Lopez-Paz

CVPRW 2022 Towards Efficient Feature Sharing in MIMO Architectures Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord

ICLR 2021 DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Rame, Matthieu Cord

ICCV 2021 MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks Alexandre Ramé, Rémy Sun, Matthieu Cord

ICCVW 2017 Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction Charles Corbière, Hédi Ben-Younes, Alexandre Ramé, Charles Ollion