[D] Dynamically choosing RNN recurrences

Hi,

I am working on a research project that could benefit from some ML-based modeling. I'm wondering if anyone is aware of research on LSTM (or other RNN) models in which the number of repetitions is dynamically determined during the model's execution. For example, a neural network cell that outputs a class, a criterion deciding whether the network continues running (+ a penalty for a higher number of cell iterations).

I've tried searching for this without success. Any pointers toward …

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