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2020 – today
- 2024
[i17]Bo Liu, Rachita Chhaparia, Arthur Douillard, Satyen Kale, Andrei A. Rusu, Jiajun Shen, Arthur Szlam, Marc'Aurelio Ranzato:
Asynchronous Local-SGD Training for Language Modeling. CoRR abs/2401.09135 (2024)- [i16]Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Adhiguna Kuncoro, Yani Donchev, Rachita Chhaparia, Ionel Gog, Marc'Aurelio Ranzato, Jiajun Shen, Arthur Szlam:
DiPaCo: Distributed Path Composition. CoRR abs/2403.10616 (2024) - [i15]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:
A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI. CoRR abs/2404.15058 (2024) - [i14]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) - 2023
- [j1]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:
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. J. Mach. Learn. Res. 24: 308:1-308:77 (2023) - [c8]Fabio Cermelli, Matthieu Cord, Arthur Douillard:
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation. CVPR 2023: 3010-3020 - [i13]Massimo Caccia, Alexandre Galashov, Arthur Douillard, Amal Rannen-Triki, Dushyant Rao, Michela Paganini, Laurent Charlin, Marc'Aurelio Ranzato, Razvan Pascanu:
Towards Compute-Optimal Transfer Learning. CoRR abs/2304.13164 (2023) - [i12]Arthur Douillard, Qixuang Feng, Andrei A. Rusu, Rachita Chhaparia, Yani Donchev, Adhiguna Kuncoro, Marc'Aurelio Ranzato, Arthur Szlam, Jiajun Shen:
DiLoCo: Distributed Low-Communication Training of Language Models. CoRR abs/2311.08105 (2023) - 2022
- [b1]Arthur Douillard:
Continual Learning for Computer Vision. (Apprentissage continu pour la vision par ordinateur). Sorbonne University, Paris, France, 2022 - [c7]Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin:
Continual Learning with Foundation Models: An Empirical Study of Latent Replay. CoLLAs 2022: 60-91 - [c6]Alexandre Ramé, Arthur Douillard, Charles Ollion:
CoRe: Color Regression for Multicolor Fashion Garments. CVPR Workshops 2022: 2251-2256 - [c5]Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CVPR Workshops 2022: 3750-3759 - [c4]Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord:
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. CVPR 2022: 9275-9285 - [i11]Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2204.11667 (2022) - [i10]Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin:
Foundational Models for Continual Learning: An Empirical Study of Latent Replay. CoRR abs/2205.00329 (2022) - [i9]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:
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. CoRR abs/2211.11747 (2022) - [i8]Fabio Cermelli, Matthieu Cord, Arthur Douillard:
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation. CoRR abs/2211.13999 (2022) - 2021
- [c3]Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord:
Insights From the Future for Continual Learning. CVPR Workshops 2021: 3482-3491 - [c2]Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord:
PLOP: Learning Without Forgetting for Continual Semantic Segmentation. CVPR 2021: 4040-4050 - [i7]Arthur Douillard, Timothée Lesort
:
Continuum: Simple Management of Complex Continual Learning Scenarios. CoRR abs/2102.06253 (2021) - [i6]Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord:
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation. CoRR abs/2106.15287 (2021) - [i5]Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord:
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. CoRR abs/2111.11326 (2021) - 2020
- [c1]Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle:
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning. ECCV (20) 2020: 86-102 - [i4]Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle:
Small-Task Incremental Learning. CoRR abs/2004.13513 (2020) - [i3]Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord:
Insights from the Future for Continual Learning. CoRR abs/2006.13748 (2020) - [i2]Alexandre Ramé, Arthur Douillard, Charles Ollion:
CORE: Color Regression for Multiple Colors Fashion Garments. CoRR abs/2010.02849 (2020) - [i1]Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord:
PLOP: Learning without Forgetting for Continual Semantic Segmentation. CoRR abs/2011.11390 (2020)
Coauthor Index
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