tensor decomposition

Tensor-Based Non-Rigid Structure From Motion WACV 2022 Tensor Wheel Decomposition and Its Tensor Completion Application NeurIPS 2022 tntorch: Tensor Network Learning with PyTorch JMLR 2022 Towards Practical Control of Singular Values of Convolutional Layers NeurIPS 2022 A Blind Block Term Decomposition of High Order Tensors AAAI 2021 A Sampling-Based Method for Tensor Ring Decomposition ICML 2021 A Semantic Filter Based on Relations for Knowledge Graph Completion EMNLP 2021 A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration JMLR 2021 AugSplicing: Synchronized Behavior Detection in Streaming Tensors AAAI 2021 Bayesian Latent Factor Model for Higher-order Data ACML 2021 Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation NeurIPS 2021 Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation ICCV 2021 Clustering Ensemble Meets Low-rank Tensor Approximation AAAI 2021 Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems AAAI 2021 Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations NeurIPS 2021 Efficient Folded Attention for Medical Image Reconstruction and Segmentation AAAI 2021 Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021 Fast and accurate randomized algorithms for low-rank tensor decompositions NeurIPS 2021 Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation NeurIPS 2021 Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion AAAI 2021 Implicit Sentiment Analysis with Event-centered Text Representation EMNLP 2021 Landscape analysis of an improved power method for tensor decomposition NeurIPS 2021 Large-Scale Learning with Fourier Features and Tensor Decompositions NeurIPS 2021 Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction CVPR 2021 Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models NeurIPS 2021