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Layer-wise Input Recoverability in Deep Neural Networks

Spiridonov, Maxwell et al.
arXiv (All) · Papers
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machine-learning
The inner workings of deep neural networks are still not well understood. The information bottleneck framework, which characterizes deep networks by the mutual information between their hidden representations and the network's input, has been used to identify compression of input information with re
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