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Do highly over-parameterized neural networks generalize since bad solutions are rare?
We study over-parameterized classifiers where Empirical Risk Minimization (ERM) for learning leads to zero training error.
CorDeep and the Sacrobosco Dataset: Detection of Visual Elements in Historical Documents
Recent advances in object detection facilitated by deep learning have led to numerous solutions in a myriad of fields ranging from medical diagnosis to autonomous driving.
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