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09/18/2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Filter pruning is one of the most effective ways to accelerate and compr...
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11/19/2018
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
Recurrent Neural Networks (RNNs) and their variants, such as Long-Short ...
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05/21/2018
Adversarial Noise Layer: Regularize Neural Network By Adding Noise
In this paper, we introduce a novel regularization method called Adversa...
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01/13/2018
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
Going deeper and wider in neural architectures improves the accuracy, wh...
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12/15/2017
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition
Recently, deep neural networks (DNNs) have been regarded as the state-of...
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12/14/2017
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Recurrent Neural Networks (RNNs) are powerful sequence modeling tools. H...
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11/11/2016
