Arthur Douillard

PhD student & Research Scientist

About me

I’m a coder, a scientist, and a teacher. I’ve defended my PhD in Deep Learning from Sorbonne Université in June 2022 and I research how to train Deep Neural Networks continually. I’ll be joining DeepMind in August as a Research Scientist.

I’ve released this course for free at deepcourse.

Recent Experience

(soon) Research Scientist

DeepMind
Research Scientist

Heuritech

Education

PhD

Sorbonne University (ex-UPMC)
Engineer in Computer Science

EPITA

Recent Publications

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord

CVPR 2022

PDF Code

Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation

Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord

Under review at TPAMI

PDF

Continuum: Simple Management of Complex Continual Learning Scenarios

Arthur Douillard, Timothée Lesort

CVPR CLVISION Findings Workshop 2021

PDF Code Slides Video

PLOP: Learning without Forgetting for Continual Semantic Segmentation

Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord

CVPR 2021

PDF Code Poster Slides Video

Insights from the Future for Continual Learning

Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord

CVPR CLVISION Workshop 2021

PDF Code Poster Slides Video

PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning

Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle

ECCV 2020

PDF Code Slides Video

Collection of Continual Learning paper implementations

Talks

Continual Semantic Segmentation PDF

October 2021 · Paris Machine Learning Meetup

Continual Semantic Segmentation and Object Rehearsal PDF Video

June 2021 · ContinualAI

Continual Learning outside full supervision PDF Video

April 2021 · Computer Vision Talks

Continuum: Simple Data Loaders PDF Video

April 2021 · ContinualAI

Continual Segmentation PDF

February 2021 · Sorbonne

Continual Learning PDF

January 2021 · Dataiku

Continual Learning PDF

November 2020 · Extrality

PODNet: Small Task Incremental Learning PDF Video

August 2020 · ECCV

Small Task Incremental Learning PDF Video

May 2020 · ContinualAI

Incremental Learning PDF

June 2019 · Sorbonne / Heuritech

Lowshots learning PDF

August 2018 · Dataiku

NATO Innovation Challenge URL Blog Post

May 2018 · École Militaire

Object Detection with Deep Learning PDF

April 2018 · Dataiku

State of the FoodTech in France

January 2018 · AgroParisTech

Teaching

Deep Learning for Computer Visionn URL

Fall 2019 - ... · EPITA · Lecturer

Deep Learning for Computer Vision URL

Fall 2019 - ... · Sorbonne University · Teacher Assistant

Deep Learning for Computer Vision URL

Fall 2018 · EPITA · Teacher Assistant

C Programming

Fall 2017 · EPITA · Teacher Assistant

Unix / Shell / Algorithm theory

Fall 2017 · EPITA · Teacher Assistant

Java Programming

Spring 2017 · EPITA · Teacher Assistant

SQL (Postgres) Programming

Spring 2017 · EPITA · Teacher Assistant

Web Programming & Project Management

Spring 2017 · EPITA · Teacher Assistant

C++ Programming

Spring 2017 · EPITA · Teacher Assistant

Arthur Douillard

PhD student & Research Scientist

About me

Recent Experience

Education

Recent Publications

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation

Continuum: Simple Management of Complex Continual Learning Scenarios

PLOP: Learning without Forgetting for Continual Semantic Segmentation

Insights from the Future for Continual Learning

PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning

Recent Posts

Projects

Talks

Teaching