Arthur Douillard

According to our database1, Arthur Douillard authored at least 18 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Asynchronous Local-SGD Training for Language Modeling.
CoRR, 2024

2023
DiLoCo: Distributed Low-Communication Training of Language Models.
CoRR, 2023

Towards Compute-Optimal Transfer Learning.
CoRR, 2023

CoMFormer: Continual Learning in Semantic and Panoptic Segmentation.
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).
PhD thesis, 2022

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.
CoRR, 2022

Foundational Models for Continual Learning: An Empirical Study of Latent Replay.
CoRR, 2022

Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

CoRe: Color Regression for Multicolor Fashion Garments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Learning with Foundation Models: An Empirical Study of Latent Replay.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation.
CoRR, 2021

Continuum: Simple Management of Complex Continual Learning Scenarios.
CoRR, 2021

Insights From the Future for Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

PLOP: Learning Without Forgetting for Continual Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
CORE: Color Regression for Multiple Colors Fashion Garments.
CoRR, 2020

Small-Task Incremental Learning.
CoRR, 2020

PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020


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