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20142025
most citedPruning Convolutional Neural Networks for Resource Efficient Inference

1.3k citations · 2.1k across the 27 of their papers we have counts for

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cs.LG2016★ 1.3k cited

Pruning Convolutional Neural Networks for Resource Efficient Inference

Pavlo Molchanov, Stephen Tyree, Tero Karras +2

We propose a new formulation for pruning convolutional kernels in neural networks to enable efficient inference. We interleave greedy criteria-based pruning with fine-tuning by bac…

cs.LG2016★ 28 cited

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree +2

We introduce a hybrid CPU/GPU version of the Asynchronous Advantage Actor-Critic (A3C) algorithm, currently the state-of-the-art method in reinforcement learning for various gaming…