Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
A central goal in deep learning is to learn compact representations of features at every layer of a neural network, which is useful for both unsupervised representation learning and structured network pruning. While there is a growing body of work in structured pruning, current state-of-the-art meth...
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