A Lyapunov-spectrum-based distance to the dense network lets hyperparameter search for pruned RNNs stop early and select models that beat both loss-based baselines and the dense originals.
In: International Conference on Machine Learning, pp
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Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum
A Lyapunov-spectrum-based distance to the dense network lets hyperparameter search for pruned RNNs stop early and select models that beat both loss-based baselines and the dense originals.