PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning. - Arthur Douillard; Matthieu Cord; Charles Ollion; Thomas Robert 001; Eduardo Valle (ECCV (20), 2020)

Small-Task Incremental Learning. - Arthur Douillard; Matthieu Cord; Charles Ollion; Thomas Robert 001; Eduardo Valle (CoRR, 2020)

CORE: Color Regression for Multiple Colors Fashion Garments. - Alexandre Ramé; Arthur Douillard; Charles Ollion (CoRR, 2020)

PLOP: Learning Without Forgetting for Continual Semantic Segmentation. - Arthur Douillard; Yifu Chen; Arnaud Dapogny; Matthieu Cord (CVPR, 2021)

Insights From the Future for Continual Learning. - Arthur Douillard; Eduardo Valle; Charles Ollion; Thomas Robert 001; Matthieu Cord (CVPR Workshops, 2021)

Continuum: Simple Management of Complex Continual Learning Scenarios. - Arthur Douillard; Timothée Lesort (CoRR, 2021)

Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation. - Arthur Douillard; Yifu Chen; Arnaud Dapogny; Matthieu Cord (CoRR, 2021)

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 (CoLLAs, 2022)

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

CoRe: Color Regression for Multicolor Fashion Garments. - Alexandre Ramé; Arthur Douillard; Charles Ollion (CVPR Workshops, 2022)

Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. - Antoine Saporta; Arthur Douillard; Tuan-Hung Vu; Patrick Pérez; Matthieu Cord (CVPR Workshops, 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)

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 001; Arslan Chaudhry; Xu Owen He; Arthur Douillard; Massimo Caccia; Qixuang Feng; Jiajun Shen; Sylvestre-Alvise Rebuffi; et al. (CoRR, 2022)

Continual Learning for Computer Vision. (Apprentissage continu pour la vision par ordinateur). - Arthur Douillard (2022)

CoMFormer: Continual Learning in Semantic and Panoptic Segmentation. - Fabio Cermelli; Matthieu Cord; Arthur Douillard (CVPR, 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)

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)

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 001; Arslan Chaudhry; Xu Owen He; Arthur Douillard; Massimo Caccia; Qixuan Feng; Jiajun Shen; Sylvestre-Alvise Rebuffi; et al. (J. Mach. Learn. Res., 2023)

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)

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)

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; et al. (CoRR, 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)

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch. - Arthur Douillard; Yanislav Donchev; Keith Rush; Satyen Kale; Zachary Charles; Zachary Garrett; Gabriel Teston; Dave Lacey; Ross McIlroy; Jiajun Shen; Alexandre Ramé; Arthur Szlam; et al. (CoRR, 2025)

Eager Updates For Overlapped Communication and Computation in DiLoCo. - Satyen Kale; Arthur Douillard; Yanislav Donchev (CoRR, 2025)

Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo. - Zachary Charles; Gabriel Teston; Lucio Dery; Keith Rush; Nova Fallen; Zachary Garrett; Arthur Szlam; Arthur Douillard (CoRR, 2025)