| PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning A Douillard, M Cord, C Ollion, T Robert, E Valle ECCV 2020, 2020 | 782 | 2020 |
| DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion A Douillard, A Ramé, G Couairon, M Cord CVPR 2022, 2021 | 355 | 2021 |
| PLOP: Learning without Forgetting for Continual Semantic Segmentation A Douillard, Y Chen, A Dapogny, M Cord CVPR 2021, 2020 | 268 | 2020 |
| Foundational Models for Continual Learning: An Empirical Study of Latent Replay O Ostapenko, T Lesort, P Rodríguez, MR Arefin, A Douillard, I Rish, ... CoLLAs, 2022 | 70* | 2022 |
| Continuum: Simple Management of Complex Continual Learning Scenarios A Douillard, T Lesort CVPR Workshop 2021, 2021 | 35* | 2021 |
| Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation A Saporta, A Douillard, TH Vu, P Pérez, M Cord CVPR Workshop, 2022 | 22 | 2022 |
| Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation A Douillard, Y Chen, A Dapogny, M Cord TPAMI, 2021 | 22 | 2021 |
| DiLoCo: Distributed Low-Communication Training of Language Models A Douillard, Q Feng, AA Rusu, R Chhaparia, Y Donchev, A Kuncoro, ... ICML Workshop 2024, 2023 | 21 | 2023 |
| CoMFormer: Continual Learning in Semantic and Panoptic Segmentation F Cermelli, M Cord, A Douillard CVPR 2023, 2022 | 21 | 2022 |
| NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research J Bornschein, A Galashov, R Hemsley, A Rannen-Triki, Y Chen, ... ICLR 2024, JMLR, 2022 | 19 | 2022 |
| A mechanism-based approach to mitigating harms from persuasive generative ai S El-Sayed, C Akbulut, A McCroskery, G Keeling, Z Kenton, Z Jalan, ... arXiv, 2024 | 15 | 2024 |
| Insights from the Future for Continual Learning A Douillard, E Valle, C Ollion, T Robert, M Cord CVPR 2021 Workshop, 2020 | 10* | 2020 |
| Detecting Cars from Aerial Imagery for the NATO Innovation Challenge A Douillard, R Meunier, A Naulet, L Dreyfus-Schmidt Data From The Trenches, 2018 | 10* | 2018 |
| Warp: On the benefits of weight averaged rewarded policies A Ramé, J Ferret, N Vieillard, R Dadashi, L Hussenot, PL Cedoz, ... arXiv preprint arXiv:2406.16768, 2024 | 8 | 2024 |
| DiPaCo: Distributed Path Composition A Douillard, Q Feng, AA Rusu, A Kuncoro, Y Donchev, R Chhaparia, ... arXiv, 2024 | 5 | 2024 |
| Asynchronous Local-SGD Training for Language Modeling B Liu, R Chhaparia, A Douillard, S Kale, AA Rusu, J Shen, A Szlam, ... ICML Workshop 2024, 2024 | 5 | 2024 |
| CORE: Color Regression for Multiple Colors Fashion Garments A Rame, A Douillard, C Ollion CVPR Workshop, 2019 | 5* | 2019 |
| Towards Compute-Optimal Transfer Learning M Caccia, A Galashov, A Douillard, A Rannen-Triki, D Rao, M Paganini, ... ICLR Workshop, 2023 | 2 | 2023 |
| Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch A Douillard, Y Donchev, K Rush, S Kale, Z Charles, Z Garrett, G Teston, ... arXiv preprint arXiv:2501.18512, 2025 | | 2025 |
| Continual Learning for Computer Vision, PhD Thesis A Douillard Sorbonne université, 2022 | | 2022 |
Matthieu CordProfessor Sorbonne University / Scientific Director valeo.aiVerified email at sorbonne-universite.fr