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Found 5 papers, 2 papers with code
The unreasonable effectiveness of the forget gate
Given the success of the gated recurrent unit, a natural question is whether all the gates of the long short-term memory (LSTM) network are necessary.
Learning a Generative Model for Validity in Complex Discrete Structures
This validator provides insight as to how individual sequence elements influence the validity of the overall sequence, and can be used to constrain sequence based models to generate valid sequences -- and thus faithfully model discrete objects.
Actively Learning what makes a Discrete Sequence Valid
As a step towards solving this problem, we propose to learn a deep recurrent validator model.
Bayesian LSTMs in medicine
The medical field stands to see significant benefits from the recent advances in deep learning.
Techniques for visualizing LSTMs applied to electrocardiograms
This paper explores four different visualization techniques for long short-term memory (LSTM) networks applied to continuous-valued time series.
