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Tensor Decomposition

Papers

Showing 76100 of 618 papers

TitleStatusHype
Accelerating the Low-Rank Decomposed Models0
Sparse Tensor PCA via Tensor Decomposition for Unsupervised Feature SelectionCode0
Sparse Prior Is Not All You Need: When Differential Directionality Meets Saliency Coherence for Infrared Small Target DetectionCode0
A deep graph model for the signed interaction prediction in biological network0
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition0
Linear causal disentanglement via higher-order cumulants0
Contrastive independent component analysisCode0
TRAWL: Tensor Reduced and Approximated Weights for Large Language ModelsCode0
Polar-Coded Tensor-Based Unsourced Random Access with Soft Decoding0
Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization0
Oblivious subspace embeddings for compressed Tucker decompositions0
Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks0
A Tensor Decomposition Perspective on Second-order RNNsCode0
Non-negative Tensor Mixture Learning for Discrete Density Estimation0
Unified Low-rank Compression Framework for Click-through Rate PredictionCode1
A Multi-resolution Low-rank Tensor Decomposition0
FLoRA: Low-Rank Core Space for N-dimensionCode1
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache CompressionCode0
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks0
Biology-inspired joint distribution neurons based on Hierarchical Correlation Reconstruction allowing for multidirectional neural networks0
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition0
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging0
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms0
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning0
Interpolating neural network: A novel unification of machine learning and interpolation theoryCode1
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