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Continual Learning with Bayesian Neural Networks for Non-Stationary Data.
Richard Kurle
Botond Cseke
Alexej Klushyn
Patrick van der Smagt
Stephan Günnemann
Published in:
ICLR (2020)
Keyphrases
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non stationary
neural network
data sets
data analysis
prior knowledge
data sources
background knowledge
back propagation
learning process
training data
learning algorithm
data points
image data
supervised learning
reinforcement learning
neural nets
bayesian methods