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ORCIDAlexandre Ramé
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2020 – today
- 2024
[c13]Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Kumar Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent:
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. EMNLP (Findings) 2024: 2153-2186- [c12]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 - [c11]Alexandre Ramé, Nino Vieillard, Léonard Hussenot, Robert Dadashi, Geoffrey Cideron, Olivier Bachem, Johan Ferret:
WARM: On the Benefits of Weight Averaged Reward Models. ICML 2024 - [i20]Alexandre Ramé, Nino Vieillard, Léonard Hussenot, Robert Dadashi, Geoffrey Cideron, Olivier Bachem, Johan Ferret:
WARM: On the Benefits of Weight Averaged Reward Models. CoRR abs/2401.12187 (2024) - [i19]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 abs/2402.04792 (2024) - [i18]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 abs/2406.16768 (2024) - [i17]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 abs/2407.14622 (2024) - [i16]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 abs/2407.15762 (2024) - [i15]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:
Gemma 2: Improving Open Language Models at a Practical Size. CoRR abs/2408.00118 (2024) - [i14]Geoffrey Cideron, Andrea Agostinelli, Johan Ferret, Sertan Girgin, Romuald Elie, Olivier Bachem, Sarah Perrin, Alexandre Ramé:
Diversity-Rewarded CFG Distillation. CoRR abs/2410.06084 (2024) - 2023
- [b1]Alexandre Ramé:
Diverse and efficient ensembling of deep networks. (De la diversification et combinaison efficace des réseaux profonds). Sorbonne University, Paris, France, 2023 - [j1]Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord:
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks. Trans. Mach. Learn. Res. 2023 (2023) - [c10]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: 28656-28679 - [c9]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 - [i13]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 abs/2306.04488 (2023) - [i12]Mustafa Shukor, Corentin Dancette, Alexandre Ramé, Matthieu Cord:
Unified Model for Image, Video, Audio and Language Tasks. CoRR abs/2307.16184 (2023) - [i11]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 abs/2310.00647 (2023) - 2022
- [c8]Alexandre Ramé, Arthur Douillard, Charles Ollion:
CoRe: Color Regression for Multicolor Fashion Garments. CVPR Workshops 2022: 2251-2256 - [c7]Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord:
Towards efficient feature sharing in MIMO architectures. CVPR Workshops 2022: 2696-2700 - [c6]Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord:
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. CVPR 2022: 9275-9285 - [c5]Alexandre Ramé, Corentin Dancette, Matthieu Cord:
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization. ICML 2022: 18347-18377 - [c4]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS 2022 - [i10]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR abs/2205.09739 (2022) - [i9]Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord:
Towards efficient feature sharing in MIMO architectures. CoRR abs/2205.10139 (2022) - [i8]Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz:
Recycling diverse models for out-of-distribution generalization. CoRR abs/2212.10445 (2022) - 2021
- [c3]Alexandre Ramé, Rémy Sun, Matthieu Cord:
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. ICCV 2021: 803-813 - [c2]Alexandre Ramé, Matthieu Cord:
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation. ICLR 2021 - [i7]Alexandre Ramé, Matthieu Cord:
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation. CoRR abs/2101.05544 (2021) - [i6]Alexandre Ramé, Rémy Sun, Matthieu Cord:
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. CoRR abs/2103.06132 (2021) - [i5]Alexandre Ramé, Corentin Dancette, Matthieu Cord:
Fishr: Invariant Gradient Variances for Out-of-distribution Generalization. CoRR abs/2109.02934 (2021) - [i4]Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord:
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. CoRR abs/2111.11326 (2021) - 2020
- [i3]Alexandre Ramé, Arthur Douillard, Charles Ollion:
CORE: Color Regression for Multiple Colors Fashion Garments. CoRR abs/2010.02849 (2020)
2010 – 2019
- 2018
- [i2]Alexandre Ramé, Emilien Garreau, Hedi Ben-Younes, Charles Ollion:
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation. CoRR abs/1812.02611 (2018) - 2017
- [c1]Charles Corbière
, Hédi Ben-Younes, Alexandre Ramé, Charles Ollion:
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction. ICCV Workshops 2017: 2268-2274 - [i1]Charles Corbière, Hédi Ben-Younes, Alexandre Ramé, Charles Ollion:
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction. CoRR abs/1709.09426 (2017)
Coauthor Index
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