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Tensor Decomposition

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Showing 151–175 of 618 papers

TitleStatusHype
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship DetectionCode0
A generalizable framework for low-rank tensor completion with numerical priorsCode0
Sublinear Time Orthogonal Tensor DecompositionCode0
MARS: Masked Automatic Ranks Selection in Tensor DecompositionsCode0
Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor DecompositionCode0
Decomposition of linear tensor transformations—0
Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares Algorithms—0
Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials—0
Decomposable Sparse Tensor on Tensor Regression—0
Data-driven emergence of convolutional structure in neural networks—0
Auto Tensor Singular Value Thresholding: A Non-Iterative and Rank-Free Framework for Tensor Denoising—0
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network—0
Curve Registered Coupled Low Rank Factorization—0
CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition—0
Automatic Unsupervised Tensor Mining with Quality Assessment—0
CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions—0
Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters—0
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition—0
Adaptive Low-Rank Factorization to regularize shallow and deep neural networks—0
COVID-19 Multidimensional Kaggle Literature Organization—0
Attribute Guided Sparse Tensor-Based Model for Person Re-Identification—0
A high-order tensor completion algorithm based on Fully-Connected Tensor Network weighted optimization—0
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion with Inter-Image Variability—0
A Unified Framework for Coupled Tensor Completion—0
Coupled CP tensor decomposition with shared and distinct components for multi-task fMRI data fusion—0
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