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Novelty Detection via Network Saliency in Visual-based Deep Learning
Machine-learning driven safety-critical autonomous systems, such as self-driving cars, must be able to detect situations where its trained model is not able to make a trustworthy prediction.
Grouped Convolutional Neural Networks for Multivariate Time Series
In experiments with two real-world datasets, we demonstrate that our group CNNs outperform existing CNN based regression methods.
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