Compressing deep neural networks by matrix product operators

Compressing deep neural networks by matrix product operators

11 April 2019

Song Cheng

Tao Xiang

Papers citing "Compressing deep neural networks by matrix product operators"

10 / 10 papers shown

Title
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 64 0 0 25 Feb 2025
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression Peiyu Liu Zeming Gao Wayne Xin Zhao Yipeng Ma Tao Wang Ji-Rong Wen MQ 37 5 0 21 May 2024
Compressing Neural Networks Using Tensor Networks with Exponentially Fewer Variational Parameters Yong Qing Ke Li P. Zhou Shi-Ju Ran 29 6 0 10 May 2023
Density peak clustering using tensor network Xiaoxi Shi Y. Shang 18 1 0 01 Feb 2023
Quantum-inspired tensor network for Earth science Soronzonbold Otgonbaatar Dieter Kranzlmüller PINN AI4CE 42 4 0 15 Jan 2023
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks Yu Pan Zeyong Su Ao Liu Jingquan Wang Nannan Li Zenglin Xu 40 11 0 28 May 2022
Tensor networks and efficient descriptions of classical data Sirui Lu Márton Kanász-Nagy I. Kukuljan J. I. Cirac 29 24 0 11 Mar 2021
Residual Matrix Product State for Machine Learning Ye Meng Jing Zhang Peng Zhang Chao Gao Shi-Ju Ran 39 12 0 22 Dec 2020
A Model Compression Method with Matrix Product Operators for Speech Enhancement Xingwei Sun Ze-Feng Gao Zhong-Yi Lu Junfeng Li Yonghong Yan 27 22 0 10 Oct 2020
A Tensor Network Approach to Finite Markov Decision Processes E. Gillman Dominic C. Rose J. P. Garrahan 32 4 0 12 Feb 2020