cd81cfd0a3397761fac44ddbe5ec3349-Paper.pdf

Feb-11-2026, 05:43:16 GMT–Neural Information Processing Systems

In this work, we identify dropout induced sparsity forLSTMs asasuitable mode ofcomputation reduction. Dropout isawidely usedregularization mechanism, which randomly drops computed neuron values during each iteration of training.

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Neural Information Processing Systems

Feb-11-2026, 05:43:16 GMT

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- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)

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- Information Technology > Artificial Intelligence
  - Machine Learning > Neural Networks
    - Deep Learning (0.79)
  - Natural Language (0.94)

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Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training

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