Arthur Douillard

According to our database, Arthur Douillard authored at least 22 papers between 2020 and 2024.

Collaborative distances:

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

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

A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI.

Seliem El-Sayed, Canfer Akbulut, Amanda McCroskery, Geoff Keeling, Zachary Kenton, Zaria Jalan, Nahema Marchal, Arianna Manzini, Toby Shevlane, Shannon Vallor, Daniel Susser, Matija Franklin, Sophie Bridgers, Harry Law, Matthew Rahtz, Murray Shanahan, Michael Henry Tessler, Arthur Douillard, Tom Everitt, Sasha Brown

CoRR, 2024

DiPaCo: Distributed Path Composition.

Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Adhiguna Kuncoro, Yani Donchev, Rachita Chhaparia, Ionel Gog, Marc'Aurelio Ranzato, Jiajun Shen, Arthur Szlam

CoRR, 2024

Asynchronous Local-SGD Training for Language Modeling.

Bo Liu, Rachita Chhaparia, Arthur Douillard, Satyen Kale, Andrei A. Rusu, Jiajun Shen, Arthur Szlam, Marc'Aurelio Ranzato

CoRR, 2024

2023

Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.

Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuan Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de Las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato

J. Mach. Learn. Res., 2023

DiLoCo: Distributed Low-Communication Training of Language Models.

Arthur Douillard, Qixuang Feng, Andrei A. Rusu, Rachita Chhaparia, Yani Donchev, Adhiguna Kuncoro, Marc'Aurelio Ranzato, Arthur Szlam, Jiajun Shen

CoRR, 2023

Towards Compute-Optimal Transfer Learning.

Massimo Caccia, Alexandre Galashov, Arthur Douillard, Amal Rannen-Triki, Dushyant Rao, Michela Paganini, Laurent Charlin, Marc'Aurelio Ranzato, Razvan Pascanu

CoRR, 2023

CoMFormer: Continual Learning in Semantic and Panoptic Segmentation.

Fabio Cermelli, Matthieu Cord, Arthur Douillard

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Continual Learning for Computer Vision. (Apprentissage continu pour la vision par ordinateur).

Arthur Douillard

PhD thesis, 2022

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.

Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuang Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de Las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato

CoRR, 2022

Foundational Models for Continual Learning: An Empirical Study of Latent Replay.

Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin

CoRR, 2022

Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation.

Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, 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

Continual Learning with Foundation Models: An Empirical Study of Latent Replay.

Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation.

Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord

CoRR, 2021

Continuum: Simple Management of Complex Continual Learning Scenarios.

Arthur Douillard, Timothée Lesort

CoRR, 2021

Insights From the Future for Continual Learning.

Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

PLOP: Learning Without Forgetting for Continual Semantic Segmentation.

Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

CORE: Color Regression for Multiple Colors Fashion Garments.

Alexandre Ramé, Arthur Douillard, Charles Ollion

CoRR, 2020

Small-Task Incremental Learning.

Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle

CoRR, 2020

PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning.

Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle

Proceedings of the Computer Vision - ECCV 2020, 2020