Matrix Completion

Matrix Completion is a method for recovering lost information. It originates from machine learning and usually deals with highly sparse matrices. Missing or unknown data is estimated using the low-rank matrix of the known data.

Source: A Fast Matrix-Completion-Based Approach for Recommendation Systems

Papers

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Showing 26–50 of 796 papers

Title	Date	Tasks	Status	Hype	Score
SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset	Oct 3, 2018	Matrix Completion	CodeCode Available	1	5
Deep Permutation Equivariant Structure from Motion	Apr 14, 2021	Matrix Completion	CodeCode Available	1	5
Randomized Approach to Matrix Completion: Applications in Collaborative Filtering and Image Inpainting	Mar 4, 2024	Collaborative FilteringImage Inpainting	CodeCode Available	1	5
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark	Nov 25, 2021	Matrix CompletionMoving Object Detection	CodeCode Available	1	5
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent	May 18, 2020	Matrix Completion	CodeCode Available	1	5
k-Space Deep Learning for Accelerated MRI	May 10, 2018	compressed sensingDeep Learning	CodeCode Available	1	5
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)	Dec 7, 2019	Computational EfficiencyImage Reconstruction	CodeCode Available	1	5
Generalized Low Rank Models	Oct 1, 2014	ClusteringDenoising	CodeCode Available	1	5
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks	Apr 22, 2017	Collaborative FilteringMatrix Completion	CodeCode Available	1	5
Hyperparameter optimization in deep multi-target prediction	Nov 8, 2022	AutoMLBenchmarking	CodeCode Available	1	5
Dictionary Learning for Massive Matrix Factorization	May 3, 2016	Collaborative FilteringDictionary Learning	CodeCode Available	0	5
Distant Supervision for Relation Extraction with Matrix Completion	Jun 1, 2014	Low-Rank Matrix CompletionMatrix Completion	CodeCode Available	0	5
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19	Sep 22, 2020	Matrix Completion	CodeCode Available	0	5
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient Regularization	Apr 20, 2016	Image InpaintingLow-Rank Matrix Completion	CodeCode Available	0	5
Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space	Oct 17, 2024	Matrix Completion	CodeCode Available	0	5
Adversarially-Trained Nonnegative Matrix Factorization	Apr 10, 2021	Dimensionality ReductionMatrix Completion	CodeCode Available	0	5
Graphon Estimation from Partially Observed Network Data	Jun 2, 2019	Graphon EstimationMatrix Completion	CodeCode Available	0	5
Deep Collective Matrix Factorization for Augmented Multi-View Learning	Nov 28, 2018	Bayesian OptimizationMatrix Completion	CodeCode Available	0	5
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion	Aug 24, 2022	Collaborative FilteringMatrix Completion	CodeCode Available	0	5
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset	Nov 4, 2015	Matrix Completion	CodeCode Available	0	5
Spectral Geometric Matrix Completion	Nov 17, 2019	Matrix CompletionRecommendation Systems	CodeCode Available	0	5
Deep Models of Interactions Across Sets	Mar 7, 2018	Collaborative FilteringMatrix Completion	CodeCode Available	0	5
Doubly robust nearest neighbors in factor models	Nov 25, 2022	counterfactualCounterfactual Inference	CodeCode Available	0	5
Collective Matrix Completion	Jul 24, 2018	Matrix Completion	CodeCode Available	0	5
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters	May 22, 2017	Community DetectionDeep Learning	CodeCode Available	0	5

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