Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training

22 March 2023

Papers citing "Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training"

6 / 6 papers shown

Title
Semi-tensor Product-based TensorDecomposition for Neural Network Compression Hengling Zhao Yipeng Liu Xiaolin Huang Ce Zhu 31 6 0 30 Sep 2021
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition Marawan Gamal Abdel Hameed Marzieh S. Tahaei A. Mosleh V. Nia 39 25 0 29 Sep 2021
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 185 1,027 0 06 Mar 2020
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 81 85 0 07 Feb 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012