Nicolas Michel

JSPS Post Doctoral Fellow at CVM, The University of Tokyo.

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Tokyo, Japan. nicolasmichel1203@gmail.com nicolas@cvm.t.u-tokyo.ac.jp

Hello there :wave:

Congrats for finding this website amongst all my homonyms. I am a Post Doctoral Researcher at The University of Tokyo, in the Computer Vision and Media Lab, under the supervision of Professor Yamasaki. I was awarded a grant of 2 years from the Japan Society for the Promotion of Science.

My scientific interests lie in Deep Learning and Computer Vision. More specifically Online Continual Learning, Representation Learning, Knowledge Distillation, Prompt Learning. You can find out all my publications on my Google Scholar. You can also find me on Linkedin and GitHub.

I will probably add more information about myself one day but you get the big picture, probably.

News

Sep 27, 2024 I will start a PostDoc position in November 2024 at the University of Tokyo, in the Computer Vision and Media Lab, under the supervision of Professor Yamasaki. Thank you again for welcoming me!
Sep 27, 2024 Our paper titled “Dealing with Synthetic Data Contamination in Online Continual Learning” has been accepted at the NeurIPS 2024!
Sep 15, 2024 I will defend my PhD thesis “Online Continuous Image Classification with Memory-based Methods: Application to YouTube data” at ESIEE Paris on the 15th of October, 2024!
Jun 07, 2024 Our paper titled “ADVERSARIALLY ROBUST CONTINUAL LEARNING WITH ANTI-FORGETTING LOSS” has been accepted at the ICIP 2024! Congratulation to Mukai-kun!
May 15, 2024 I gave a presentation at the Labex Bézout day about “Stability-Plasticity trade-off in Online Continual Learning”, at LIGM.

Selected publications

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    Rethinking Momentum Knowledge Distillation in Online Continual Learning
    Nicolas Michel, Maorong Wang, Ling Xiao, and 1 more author
    In The Forty-first International Conference on Machine Learning (ICML) , 2024
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    Improving Plasticity in Online Continual Learning via Collaborative Learning
    Maorong Wang, Nicolas Michel, Ling Xiao, and 1 more author
    In The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2024
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    Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual Learning
    Nicolas Michel, Giovanni Chierchia, Romain Negrel, and 1 more author
    In The 38th Annual AAAI Conference on Artificial Intelligence (AAAI) , 2024