29
/pt/
pt
AIzaSyAYiBZKx7MnpbEhh9jyipgxe19OcubqV5w
April 1, 2024
Criar
Public Timelines
Biblioteca
FAQ
For education
Cabinet
For educational institutions
For teachers
For students/pupils
Baixar
Export
Criar uma cópia
Incorporar ao site
Visualizações 173
0
0
Low-rank decomposition
Criada
李纪
⟶ Atualizado 7 abr 2020 ⟶
List of edits
Linhas do tempo do
李纪
:
13 nov 2019
1
0
296
Regularization
Comentários
Eventos
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)