Pinned Repositories
Barrier-Option-Pricing
projet de deuxième année aux mines de nancy - barrier option pricing using branching processes
dr-hqcl
In medical applications with limited training data, traditional self-supervised deep learning struggles for accuracy. This study combines self-supervised learning with Variational Quantum Classifiers (VQC) and Principal Component Analysis (PCA) for dimensionality reduction.
EndToEndIncrementalLearning
End-to-End Incremental Learning
FACIL
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
iccv2019-inc
ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Quantum-Machine-Learning
qvelard
qvelard's Repositories
qvelard/Quantum-Machine-Learning
qvelard/dr-hqcl
In medical applications with limited training data, traditional self-supervised deep learning struggles for accuracy. This study combines self-supervised learning with Variational Quantum Classifiers (VQC) and Principal Component Analysis (PCA) for dimensionality reduction.
qvelard/qvelard
qvelard/Barrier-Option-Pricing
projet de deuxième année aux mines de nancy - barrier option pricing using branching processes
qvelard/FACIL
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
qvelard/iccv2019-inc
ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
qvelard/EndToEndIncrementalLearning
End-to-End Incremental Learning