Matrix Factorization

Matrix factorization is a family of techniques that decompose a data matrix into lower-dimensional components, aiming to reveal underlying structure and reduce dimensionality. Current research emphasizes developing more efficient and robust algorithms, including those incorporating deep learning, handling missing data, and addressing challenges in distributed and federated settings. These advancements are improving the performance and applicability of matrix factorization across diverse fields, such as recommendation systems, computer vision, and natural language processing, by enabling more accurate and scalable data analysis.

Papers

December 20, 2022

Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems
Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima
Matrix Factorization Collaborative Filtering Preference Elicitation Mini Batch Gradient Descent Factorization Machine Large Scale Recommender System Bayesian Formulation

December 19, 2022

Continuous Semi-Supervised Nonnegative Matrix Factorization
Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula, Deanna Needell
Inherent Interpretability Matrix Factorization Non Negative Matrix

December 15, 2022

Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks
Khondoker Murad Hossain, Tim Oates
Deep Learning Deep Neural Network Computer Vision Backdoor Attack Deep Network Matrix Factorization Balancing Weight Backdoor Detection Detection Pipeline

December 6, 2022

PoissonMat: Remodeling Matrix Factorization using Poisson Distribution and Solving the Cold Start Problem without Input Data
Hao Wang
Recommender System Probabilistic Model Matrix Factorization Poisson Noise Recommendation Problem Cold Start Problem

December 5, 2022

Matrix factorization with neural networks
Francesco Camilli, Marc Mézard
Neural Network Matrix Factorization Associative Memory

November 17, 2022

Blurring-Sharpening Process Models for Collaborative Filtering
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
Recommender System Matrix Factorization Collaborative Filtering Recommendation Model Blurring Sharpening Process Model

November 8, 2022

Contaminated Images Recovery by Implementing Non-negative Matrix Factorisation
Pengwei Yang, Chongyangzi Teng, Jack George Mangos
Matrix Factorization Image Purification Negative Matrix Factorisation

November 2, 2022

Privacy-preserving Non-negative Matrix Factorization with Outliers
Swapnil Saha, Hafiz Imtiaz
Privacy Preserving Matrix Factorization Private Algorithm Non Negative Matrix Factorization

October 29, 2022

Articulatory Representation Learning Via Joint Factor Analysis and Neural Matrix Factorization
Jiachen Lian, Alan W Black, Yijing Lu, Louis Goldstein, Shinji Watanabe, Gopala K. Anumanchipalli
Speech Synthesis Matrix Factorization Articulatory Representation Articulatory Kinematics

October 24, 2022

Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization
Alireza Bordbar, Mohammad Hossein Kahaei
Deep Neural Network Network Programming Matrix Factorization Memory Efficient Efficient Approach

October 23, 2022

Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
Matrix Factorization Nearest Neighbor Retrieval Model Cross Encoder Dual Encoders K Nearest Neighbor Search

October 19, 2022

October 11, 2022

FusionDeepMF: A Dual Embedding based Deep Fusion Model for Recommendation
Supriyo Mandal, Abyayananda Maiti
Matrix Factorization Effective Recommendation User Item Traditional Recommender Dual System Linear Kernel

October 6, 2022

A Novel Maximum-Entropy-Driven Technique for Low-Rank Orthogonal Nonnegative Matrix Factorization with $\ell_0$-Norm sparsity Constraint
Salar Basiri, Srinivasa Salapaka
Matrix Factorization Low Rank Maximum Entropy Sparsity Constraint Non Negative Matrix

October 5, 2022

Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering
Ángel González-Prieto, Abraham Gutiérrez, Fernando Ortega, Raúl Lara-Cabrera
Classification Code Recommender System Matrix Factorization Collaborative Filtering Recommendation Model Prediction Accuracy Recommendation Quality

October 2, 2022

Subspace Learning for Feature Selection via Rank Revealing QR Factorization: Unsupervised and Hybrid Approaches with Non-negative Matrix Factorization and Evolutionary Algorithm
Amir Moslemi, Arash Ahmadian
Feature Selection Matrix Factorization Unsupervised Setting Non Negative Matrix Factorization Subspace Learning QR Decomposition QR Iteration

September 29, 2022

PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems
Peihua Mai, Yan Pang
Recommender System Privacy Preserving Matrix Factorization Homomorphic Encryption Federated Recommendation

September 28, 2022

Supervised Class-pairwise NMF for Data Representation and Classification
Rachid Hedjam, Abdelhamid Abdesselam, Seyed Mohammad Jafar Jalali, Imran Khan, Samir Brahim Belhaouari
Classification Code Matrix Factorization Data Representation Negative Matrix Factorization

Matrix Factorization

Papers

Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems

Continuous Semi-Supervised Nonnegative Matrix Factorization

Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks

PoissonMat: Remodeling Matrix Factorization using Poisson Distribution and Solving the Cold Start Problem without Input Data

Matrix factorization with neural networks

Blurring-Sharpening Process Models for Collaborative Filtering

Contaminated Images Recovery by Implementing Non-negative Matrix Factorisation

Privacy-preserving Non-negative Matrix Factorization with Outliers

Articulatory Representation Learning Via Joint Factor Analysis and Neural Matrix Factorization

Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization

Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization

Binary Orthogonal Non-negative Matrix Factorization

Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction

Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation

FusionDeepMF: A Dual Embedding based Deep Fusion Model for Recommendation

A Novel Maximum-Entropy-Driven Technique for Low-Rank Orthogonal Nonnegative Matrix Factorization with $\ell_0$-Norm sparsity Constraint

Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering

Subspace Learning for Feature Selection via Rank Revealing QR Factorization: Unsupervised and Hybrid Approaches with Non-negative Matrix Factorization and Evolutionary Algorithm

PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems

Supervised Class-pairwise NMF for Data Representation and Classification