Codes for "A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning (WWW 2021)".
-
Updated
Sep 29, 2021
Codes for "A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning (WWW 2021)".
Official repository for the ICASSP 2024 paper 'Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning'.
Implementation of the channel estimator based on Mixture of Factor Analyzers (MFA).
Nonconvex Optimization for Third Order Tensor Completion Under Wavelet Transform
Hierarchical Computations on Manycore Architectures
C++ API for the BLAS of Tile Low-rank Matrix Algebra
Video Denoising using Low Rank Matrix completion
XBorne tool
Codes for the paper "Deep sparse and low-rank for HSI denoising" in Proceeding of IGARSS 2022, Kuala Lumpur.
mfair: Matrix Factorization with Auxiliary Information in R
Sparse and Low-Rank Paradigm Free Mapping.
Fast algorithms for volume-based CUR low-rank approximation and their application to nonnegative matrix approximation and matrix completion problems.
Demo code for CVPR2023 paper "Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers"
Lowrankdensity
Voice Music Separation competing for 6th Huawei Cup in ZJU
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
Python code and data for "Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging"
Regularized estimation of high-dimensional FAVAR models
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
Add a description, image, and links to the low-rank topic page so that developers can more easily learn about it.
To associate your repository with the low-rank topic, visit your repo's landing page and select "manage topics."