Matrix Factorization / Decomposition

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Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (16 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
  1 Apr 2021 2 repositories listed
  Parameter servers (PSs) facilitate the implementation of distributed training for large machine learning tasks.
• Joint Matrix-Tensor Factorization for Knowledge Base Inference
  2 Jun 2017 2 repositories listed
  If not, what characteristics of a dataset determine the performance of MF and TF models?
• Contrastive Deep Nonnegative Matrix Factorization for Community Detection
  4 Nov 2023 1 repository listed
  Recently, nonnegative matrix factorization (NMF) has been widely adopted for community detection, because of its better interpretability.
• Fast Rank-1 NMF for Missing Data with KL Divergence
  25 Oct 2021 1 repository listed
  We propose a fast non-gradient-based method of rank-1 non-negative matrix factorization (NMF) for missing data, called A1GM, that minimizes the KL divergence from an input matrix to the reconstructed rank-1 matrix.
• Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression
  9 Jul 2021 1 repository listed
  To overcome this problem, we propose to compress CNNs and alleviate performance degradation via joint matrix decomposition, which is different from existing works that compressed layers separately.
• Accurate and fast matrix factorization for low-rank learning
  21 Apr 2021 1 repository listed
  In this paper, we tackle two important problems in low-rank learning, which are partial singular value decomposition and numerical rank estimation of huge matrices.
• Fast Rank Reduction for Non-negative Matrices via Mean Field Theory
  9 Jun 2020 1 repository listed
  We propose an efficient matrix rank reduction method for non-negative matrices, whose time complexity is quadratic in the number of rows or columns of a matrix.
• Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning
  24 Apr 2019 1 repository listed
  Using this similarity measure, we propose several related algorithms for ranking data instances and performing numerosity reduction.
• Eigenvalue and Generalized Eigenvalue Problems: Tutorial
  25 Mar 2019 1 repository listed
  This paper is a tutorial for eigenvalue and generalized eigenvalue problems.