CVPR2017 - an ultra-compact bilinear model for fine-grained classification
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Updated
Oct 31, 2017 - C++
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
[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
HiCMA: Hierarchical Computations on Manycore Architectures
😎 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
Harvard X Data Science - Capstone project on Movielens
Second-Order Convergence of Alternating Minimizations
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
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