conftrace_

low-rank representation

71 papers

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Also known as

LRR

Co-occurring keywords

subspace clustering (123) sparse representation (297) matrix factorization (529) nuclear norm (79) matrix completion (356) tensor decomposition (375) multi-view clustering (199) dictionary learning (277) subspace learning (96) spectral clustering (305)

Papers

Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering AAAI 2026
Maximizing Schatten-p Norm Regularization Toward Balance AAAI 2026
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis IJCAI 2024
Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering IJCAI 2024
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity AISTATS 2024
A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing CVPR 2024
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor NIPS 2024
Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering AAAI 2024
Learning Low-Rank Latent Spaces With Simple Deterministic Autoencoder: Theoretical and Empirical Insights WACV 2024
A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction CVPR 2024
Weight decay induces low-rank attention layers NIPS 2024
Beyond task diversity: provable representation transfer for sequential multitask linear bandits NIPS 2024
Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering AAAI 2023
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing ICML 2023
Tensorized Incomplete Multi-View Clustering with Intrinsic Graph Completion AAAI 2023
Kissing to Find a Match: Efficient Low-Rank Permutation Representation NIPS 2023
Multi-task Representation Learning with Stochastic Linear Bandits AISTATS 2023
Robust and Fast Measure of Information via Low-Rank Representation AAAI 2023
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data JMLR 2023
Edge Structure Learning via Low Rank Residuals for Robust Image Classification AAAI 2023
Multi-Mode Tensor Space Clustering Based on Low-Tensor-Rank Representation AAAI 2022
Trace norm regularization for multi-task learning with scarce data COLT 2022
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion AISTATS 2022
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning ICML 2021
Second-Order Neural ODE Optimizer NIPS 2021