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Tensor Decomposition

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Showing 51–100 of 618 papers

TitleStatusHype
Overcomplete Tensor Decomposition via Koszul-Young Flattenings—0
Learning Parameter Sharing with Tensor Decompositions and SparsityCode0
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge DistillationCode0
Activation Map Compression through Tensor Decomposition for Deep LearningCode0
Low-Rank Tensors for Multi-Dimensional Markov ModelsCode0
CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models—0
Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition—0
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks—0
Tensor Decomposition with Unaligned Observations—0
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties—0
QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN ModelsCode0
ESPACE: Dimensionality Reduction of Activations for Model Compression—0
Tensor-Train Point Cloud Compression and Efficient Approximate Nearest-Neighbor Search—0
Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decompositionCode1
Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models—0
Broadcast Product: Shape-aligned Element-wise Multiplication and Beyond—0
Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast—0
Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep UnrollingCode0
Unified Framework for Neural Network Compression via Decomposition and Optimal Rank Selection—0
Convolutional Neural Network Compression Based on Low-Rank Decomposition—0
Functional Tensor Decompositions for Physics-Informed Neural NetworksCode1
Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data—0
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design—0
Channel Estimation for Beyond Diagonal RIS via Tensor Decomposition—0
Channel Estimation for Movable-Antenna MIMO Systems Via Tensor Decomposition—0
Accelerating the Low-Rank Decomposed Models—0
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 network—0
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition—0
Linear causal disentanglement via higher-order cumulants—0
Contrastive independent component analysisCode0
TRAWL: Tensor Reduced and Approximated Weights for Large Language ModelsCode0
Polar-Coded Tensor-Based Unsourced Random Access with Soft Decoding—0
Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization—0
Oblivious subspace embeddings for compressed Tucker decompositions—0
Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks—0
A Tensor Decomposition Perspective on Second-order RNNsCode0
Non-negative Tensor Mixture Learning for Discrete Density Estimation—0
Unified Low-rank Compression Framework for Click-through Rate PredictionCode1
A Multi-resolution Low-rank Tensor Decomposition—0
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 Networks—0
Biology-inspired joint distribution neurons based on Hierarchical Correlation Reconstruction allowing for multidirectional neural networks—0
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition—0
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging—0
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms—0
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning—0
Interpolating neural network: A novel unification of machine learning and interpolation theoryCode1
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