Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Nicolas Michel
Observed names:
MICHEL, Nicolas,
Michel, Nicolas
Institutions:
Centre National de la Recherche Scientifique,
Japanese-French Laboratory for Informatics,
The University of Tokyo
Observed institutions:
Centre National de la Recherche Scientifique,
Institut Mines-Télécom,
Laboratoire d'Informatique Gaspard-Monge,
Université Gustave Eiffel,
Japanese-French Laboratory for Informatics,
The University of Tokyo
show all 6
ORCID:
0000-0002-6265-6748
Observed ORCID:
0000-0002-6265-6748
OpenAlex ID:
A5070545377
Improving Plasticity in Online Continual Learning via Collaborative Learning
2024
·
Maorong Wang
, Nicolas Michel
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
17
PDF
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual Learning
2023
·
Michel, Nicolas
, Chierchia, Giovanni
, et al.
·
arXiv (Cornell University)
·
3
PDF
Continual Distillation of Teachers from Different Domains
2026
·
Michel, Nicolas
, Wang, Maorong
, et al.
·
arXiv (Cornell University)
·
1
PDF
Convolution Neural Networkによる広告画像効果の推定
2018
·
Nicolas Michel
, 坂田 隼人
, et al.
·
1
Synesthesia via Direct Latent Augmentation: Bypassing the Decode-Encode Loop for Cross-Modal Distillation
2026
·
Cristian Sbrolli
, Nicolas Michel
, et al.
·
Lecture notes in computer science
PDF
From Offline to Online Memory-Free and Task-Free Continual Learning via Fine-Grained Hypergradients
2025
·
Michel, Nicolas
, Wang, Maorong
, et al.
·
arXiv (Cornell University)
PDF
Online Continuous Image Classification with Memory-based Methods : Application to YouTube data
2024
·
Nicolas Michel
·
theses.fr (ABES)
CIFAR100 and Tiny ImageNet
2024
·
MICHEL, Nicolas
·
TIB Data Manager
Banner Click Through Rate Classification Using Deep Convolutional Neural Network
2018
·
Nicolas Michel
·
The Japanese Society for Artificial Intelligence
Banner Click Through Rate Classification Using Deep Neural Convolutional Network (メディアエクスペリエンス・バーチャル環境基礎)
2018
·
Nicolas Michel
, Hayato Sakata
, et al.
·
IEICE technical report. Speech
Show more works
View as search
Works count:
11
Citation count:
25
H-index:
3
I10-index:
1
Year
Topic
Type