Several families of continual learning techniques have been proposed to
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Although a plethora of architectural variants for deep classification ha...
In this paper we analyze the classification performance of neural networ...
Current deep learning research is dominated by benchmark evaluation. A m...
Artificial Neural Networks (ANNs) implement a specific form of multi-var...
We present an analysis of predictive uncertainty based out-of-distributi...
We introduce a unified probabilistic approach for deep continual learnin...
We characterize convolutional neural networks with respect to the relati...
Successful training of convolutional neural networks is often associated...
The use of simulated virtual environments to train deep convolutional ne...