Marcin Przewięźlikowski
5 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(13)
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Core Methods
(4)
Artificial Intelligence
(2)
Architectures
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Techniques
(1)
Keywords
few-shot learning
(2)
representation learning
(1)
continual learning
(1)
bayesian learning
(1)
self-supervised learning
(1)
knowledge distillation
(1)
class-incremental learning
(1)
visual representation
(1)
image inpainting
(1)
convolutional neural network
(1)
task adaptation
(1)
missing data
(1)
representation shift
(1)
continuous normalizing flow
(1)
expected value
(1)
masked image modeling
(1)
teacher adaptation
(1)
matrix operation
(1)
selective aggregation
(1)
mixture of factor analyzer
(1)
Papers
Beyond [cls]: Exploring the True Potential of Masked Image Modeling Representations
ICCV 2025
Hypernetwork Approach to Bayesian MAML (Student Abstract)
AAAI 2025
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning
WACV 2024
HyperShot: Few-Shot Learning by Kernel HyperNetworks
WACV 2023
MisConv: Convolutional Neural Networks for Missing Data
WACV 2022