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1412.6553
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Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
International Conference on Learning Representations (ICLR), 2014
19 December 2014
V. Lebedev
Yaroslav Ganin
M. Rakhuba
Ivan Oseledets
Victor Lempitsky
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Papers citing
"Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition"
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Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
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Reduced-Order Modeling of Deep Neural Networks
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Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey
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XNOR-Net++: Improved Binary Neural Networks
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Learning Efficient Convolutional Networks through Irregular Convolutional Kernels
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Training convolutional neural networks with cheap convolutions and online distillation
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Accurate and Compact Convolutional Neural Networks with Trained Binarization
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Knowledge Distillation for End-to-End Person Search
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Recurrent Neural Networks: An Embedded Computing Perspective
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Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation
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28 May 2019
Progressive Learning of Low-Precision Networks
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Multilinear Compressive Learning
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Dynamic Neural Network Channel Execution for Efficient Training
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Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
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242
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