CVPR2017 - an ultra-compact bilinear model for fine-grained classification

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

HiCMA: Hierarchical Computations on Manycore Architectures

[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"

😎 A curated list of tensor decomposition resources for model compression.

Denoise Sparse Low-Rank matrices using convex non-convex priors

Low-rank matrix estimation using convex non-convex prior

Second-Order Convergence of Alternating Minimizations

Harvard X Data Science - Capstone project on Movielens

Employing sequentiial Low Rank Factorization to DNNs

Recommendation System: It helps a user to discover new Movies/Products by predicting Rating on each item for a particular user from Past Experience of that User

Movie Rating Prediction based on NETFLIX dataset using Low Rank Matrix factorization technique.

Integrative Reduced Rank Regression with Multi-View Predictors

" Spatially constrained clustering, using a sparse + low rank tv regularised factorization" Benichoux, A. and Blumensath, T. (2014)

Low Rank Approximation (Adaptation) Methods in Neural Networks

Odecomp: Online Tensor Decomposition for the Model Compression of Neural Network