Scholar
Nicolas Michel
Google Scholar ID: OyXkV0QAAAAJ
PostDoc Researcher, The University of Tokyo, Japan
Citations & Impact
Citations
69
H-index
4
i10-index
3
Publications
12
Co-authors
7
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications:
- - "Dealing with Synthetic Data Contamination in Online Continual Learning" accepted at NeurIPS 2024.
- - "ADVERSARIALLY ROBUST CONTINUAL LEARNING WITH ANTI-FORGETTING LOSS" accepted at ICIP 2024.
- - "Rethinking Momentum Knowledge Distillation in Online Continual Learning", published at ICML 2024.
- - "Improving Plasticity in Online Continual Learning via Collaborative Learning", published at CVPR 2024.
- - "Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual Learning", published at AAAI 2024.
Research Experience
- Starting a PostDoc position in November 2024 at the University of Tokyo, in the Computer Vision and Media Lab, under the supervision of Professor Yamasaki; awarded a 2-year grant from the Japan Society for the Promotion of Science.
Education
- Will defend his PhD thesis titled 'Online Continuous Image Classification with Memory-based Methods: Application to YouTube data' at ESIEE Paris on October 15, 2024.
Background
- Research interests: Deep Learning, Computer Vision, Online Continual Learning, Representation Learning, Knowledge Distillation, Prompt Learning. Currently a Post Doctoral Researcher at the University of Tokyo in the Computer Vision and Media Lab.
Miscellany
- More information can be found on Google Scholar, LinkedIn, and GitHub.
