Nicolas Michel
5 papers · 2024–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
🏆
Keyword Champion
(4)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Core AI · Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Mathematics
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
online continual learning
(4)
knowledge distillation
(2)
continual learning
(2)
image generation
(1)
online learning
(1)
knowledge transfer
(1)
class-incremental learning
(1)
collaborative learning
(1)
diffusion model
(1)
synthetic data
(1)
cross-domain generalization
(1)
data contamination
(1)
maximum a posteriori estimation
(1)
classification task
(1)
von mises-fisher distribution
(1)
teacher-student learning
(1)
entropy-based selection
(1)
neural network
(1)
angular gaussian distribution
(1)
unit sphere
(1)
Papers
Continual Distillation of Teachers from Different Domains
CVPR 2026
Dealing with Synthetic Data Contamination in Online Continual Learning
NeurIPS 2024
Improving Plasticity in Online Continual Learning via Collaborative Learning
CVPR 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning
AAAI 2024
Rethinking Momentum Knowledge Distillation in Online Continual Learning
ICML 2024