TRP: Trained Rank Pruning for Efficient Deep Neural Networks

TRP: Trained Rank Pruning for Efficient Deep Neural Networks

30 April 2020

Yiran Chen

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

12 / 12 papers shown

Title
Low-Rank Compression for IMC Arrays Kang Eun Jeon Johnny Rhe J. Ko 40 0 0 10 Feb 2025
Compression of Recurrent Neural Networks using Matrix Factorization Lucas Maison Hélion Marie du Mas des Bourboux Thomas Courtat 18 0 0 19 Oct 2023
Survey on Computer Vision Techniques for Internet-of-Things Devices Ishmeet Kaur Adwaita Janardhan Jadhav AI4CE 19 1 0 02 Aug 2023
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition Lizhi Xiang Miao Yin Chengming Zhang Aravind Sukumaran-Rajam P. Sadayappan Bo Yuan Dingwen Tao 3DV 20 8 0 07 Nov 2022
Compression-aware Training of Neural Networks using Frank-Wolfe Max Zimmer Christoph Spiegel Sebastian Pokutta 29 9 0 24 May 2022
Compact Model Training by Low-Rank Projection with Energy Transfer K. Guo Zhenquan Lin Xiaofen Xing Fang Liu Xiangmin Xu 27 2 0 12 Apr 2022
RGP: Neural Network Pruning through Its Regular Graph Structure Zhuangzhi Chen Jingyang Xiang Yao Lu Qi Xuan Xiaoniu Yang 27 1 0 28 Oct 2021
Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression Zhefeng Qiao Xianghao Yu Jun Zhang Khaled B. Letaief FedML 35 19 0 26 Apr 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning Seul-Ki Yeom Kyung-Hwan Shim Jee-Hyun Hwang CVBM 28 12 0 19 Mar 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 31 63 0 20 Apr 2020
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks A. Yaguchi Taiji Suzuki Shuhei Nitta Y. Sakata A. Tanizawa 19 9 0 29 Oct 2019
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 331 1,049 0 10 Feb 2017