Trained Rank Pruning for Efficient Deep Neural Networks

Trained Rank Pruning for Efficient Deep Neural Networks

6 December 2018

Yiran Chen

Papers citing "Trained Rank Pruning for Efficient Deep Neural Networks"

7 / 7 papers shown

Title
Deep Learning Weight Pruning with RMT-SVD: Increasing Accuracy and Reducing Overfitting Yitzchak Shmalo Jonathan Jenkins Oleksii Krupchytskyi 30 3 0 15 Mar 2023
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness Huy Phan Miao Yin Yang Sui Bo Yuan S. Zonouz AAML GNN 32 8 0 04 Dec 2022
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search Zhewen Yu C. Bouganis 32 4 0 22 Aug 2022
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration Shiwei Liu Tianlong Chen Xiaohan Chen Zahra Atashgahi Lu Yin Huanyu Kou Li Shen Mykola Pechenizkiy Zhangyang Wang Decebal Constantin Mocanu 40 111 0 19 Jun 2021
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization Huanrui Yang Lin Duan Yiran Chen Hai Helen Li MQ 18 64 0 20 Feb 2021
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification Huanrui Yang Minxue Tang W. Wen Feng Yan Daniel Hu Ang Li H. Li Yiran Chen 36 63 0 20 Apr 2020
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017