Differentiable Low-Rank Learning (DLRL)

This is an implement of methods in "Zhaoliang Chen, Jie Yao, Guobao Xiao and Shiping Wang, Efficient and Differentiable Low-rank Matrix Completion with Back Propagation, IEEE Transactions on Multimedia, 2021".

Environment

Require Python 3.8

• torch 1.8.0
• numpy 1.16.3

Quick Running

• Run python ./demo.py directly.