Arthur Douillard | DeepAI

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∙ 04/25/2023

Towards Compute-Optimal Transfer Learning

The field of transfer learning is undergoing a significant shift with th...

0 Massimo Caccia, et al. ∙

∙ 11/25/2022

CoMFormer: Continual Learning in Semantic and Panoptic Segmentation

Continual learning for segmentation has recently seen increasing interes...

0 Fabio Cermelli, et al. ∙

∙ 04/30/2022

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

Rapid development of large-scale pre-training has resulted in foundation...

12 Oleksiy Ostapenko, et al. ∙

∙ 04/25/2022

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

Unsupervised Domain Adaptation (UDA) is a transfer learning task which a...

9 Antoine Saporta, et al. ∙

∙ 11/22/2021

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

Deep network architectures struggle to continually learn new tasks witho...

14 Arthur Douillard, et al. ∙

∙ 06/29/2021

Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation

Deep learning approaches are nowadays ubiquitously used to tackle comput...

25 Arthur Douillard, et al. ∙

∙ 02/11/2021

Continuum: Simple Management of Complex Continual Learning Scenarios

Continual learning is a machine learning sub-field specialized in settin...

24 Arthur Douillard, et al. ∙

∙ 11/23/2020

PLOP: Learning without Forgetting for Continual Semantic Segmentation

Deep learning approaches are nowadays ubiquitously used to tackle comput...

3 Arthur Douillard, et al. ∙

∙ 10/06/2020

CORE: Color Regression for Multiple Colors Fashion Garments

Among all fashion attributes, color is challenging to detect due to its ...

0 Alexandre Ramé, et al. ∙

∙ 06/24/2020

Insights from the Future for Continual Learning

Continual learning aims to learn tasks sequentially, with (often severe)...

0 Arthur Douillard, et al. ∙

∙ 04/28/2020

Small-Task Incremental Learning

Lifelong learning has attracted much attention, but existing works still...

6 Arthur Douillard, et al. ∙

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