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Deep Learning Is Not Good Enough, We Need Bayesian Deep Learning for Safe AI Bayesian Deep Learning, Computer Vision, Uncertainty Understanding what a model does not know is a critical part of many machine learning systems. Unfortunately, today’s deep learning algorithms are usually unable to understand their uncertainty. These models are often taken blindly and assumed to be accurate, which is no
Have We Forgotten about Geometry in Computer Vision? Deep learning has revolutionised computer vision. Today, there are not many problems where the best performing solution is not based on an end-to-end deep learning model. In particular, convolutional neural networks are popular as they tend to work fairly well out of the box. However, these models are largely big black-boxes. There are a lot of
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