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11/19/2019
Neural Network Pruning with Residual-Connections and Limited-Data
Filter level pruning is an effective method to accelerate the inference ...
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05/23/2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference
Channel pruning is an important family of methods to speedup deep model'...
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03/08/2018
Learning Effective Binary Visual Representations with Deep Networks
Although traditionally binary visual representations are mainly designed...
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07/20/2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
We propose an efficient and unified framework, namely ThiNet, to simulta...
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06/19/2017
An Entropy-based Pruning Method for CNN Compression
This paper aims to simultaneously accelerate and compress off-the-shelf ...
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05/24/2016
Dense CNN Learning with Equivalent Mappings
Large receptive field and dense prediction are both important for achiev...
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04/18/2016
