Low-rank decomposition
Category: Altro
è stato aggiornato: 7 apr 2020
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Created by李纪
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Predicting parameters in deep learning. (NIPS 2013)Speeding up convolutional neural networks with low rank expansions. (BMVC 2014)Accelerating very deep convolutional networks for classification and detection. (TPAMI 2015)Accelerating very deep convolutional networks for classification and detection. (TPAMI 2015)(copy)Compression of deep convolutional neural networks for fast and low power mobile applications. (ICLR 2015)Accelerating convolutional neural networks for mobile applications. (ACM 2016)Speeding-up convolutional neural networks using fine-tuned cp-decomposition (ICLR 2014)Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling (ICASSP 2019)Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks (IEEE 2020)Tensorizing Neural Networks (NIPS 2015)Ultimate tensorization: Compressing convolutional and FC layers alike (CoRR 2016)Wide Compression: Tensor Ring Nets (CVPR 2018)
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