Abstract: We describe a mechanism for subsampling sequences and show how to compute its expected output so that it can be trained with standard backpropagation. We test this approach on a simple toy problem and discuss its shortcomings.
TL;DR: We describe a mechanism for subsampling sequences which can be trained in expectation with standard backpropagation.
Conflicts: google.com
Keywords: Theory, Deep learning, Structured prediction
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