tongnie/ImputeFormer

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

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FranciscoRMendes/tensor-rank

Low Rank Approximation (Adaptation) Methods in Neural Networks

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bezhvin/Sequential-LRF

Employing sequentiial Low Rank Factorization to DNNs

Language: Shell - Size: 7.17 MB - Last synced: 2 months ago - Pushed: about 4 years ago - Stars: 2 - Forks: 0

aimerykong/Low-Rank-Bilinear-Pooling

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

Language: C++ - Size: 125 MB - Last synced: 7 months ago - Pushed: over 6 years ago - Stars: 148 - Forks: 37

aparek/ISLRMatrix

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

Language: Matlab - Size: 20.5 KB - Last synced: 7 months ago - Pushed: about 7 years ago - Stars: 6 - Forks: 1

aparek/EnhancedLowRankMatrixApproximation

Low-rank matrix estimation using convex non-convex prior

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ecrc/hicma

HiCMA: Hierarchical Computations on Manycore Architectures

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Emmanuel-R8/HarvardX-Movielens 📦

Harvard X Data Science - Capstone project on Movielens

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hiroyuki-kasai/OLSTEC

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

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zslwyuan/Odecomp

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

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qiuweili/altmin

Second-Order Convergence of Alternating Minimizations

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C-Ritam98/Rating_Prediction

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

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slimgroup/RCAM.jl

Language: Julia - Size: 3.71 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

reagan0323/iRRR

Integrative Reduced Rank Regression with Multi-View Predictors

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abenicho/isvr

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

Language: Python - Size: 4.78 MB - Last synced: over 1 year ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0