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20162026
most citedPruning Convolutional Neural Networks for Resource Efficient Inference

1.3k citations · 1.8k across the 82 of their papers we have counts for

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Showing 2019Show all

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cs.LG2019★ 47 cited

Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion

Hongxu Yin, Pavlo Molchanov, Zhizhong Li +5

We introduce DeepInversion, a new method for synthesizing images from the image distribution used to train a deep neural network. We 'invert' a trained network (teacher) to synthes…

cs.LG2019

Importance Estimation for Neural Network Pruning

Pavlo Molchanov, Arun Mallya, Stephen Tyree +2

Structural pruning of neural network parameters reduces computation, energy, and memory transfer costs during inference. We propose a novel method that estimates the contribution o…