low-rank approximation

CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking AAAI 2026 Efficient frequent directions algorithms for approximate decomposition of matrices and higher-order tensors JMLR 2026 Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning WACV 2026 FLRQ: Faster LLM Quantization with Flexible Low-Rank Matrix Sketching AAAI 2026 HiNCoT: Hierarchical Nonlinear Continuous Transform-based Tensor Representation for Multi-Dimensional Data Recovery AAAI 2026 HiSVD: Principled Low-Rank Approximation of LLMs via Hierarchical Modeling of Information Capacity and Spectral Structure ACL 2026 Hybrid Restricted Master Problem for Boolean Matrix Factorisation AAAI 2026 LowRank-CAM: A Computationally Efficient and Interpretable Framework for Medical Image Analysis (Student Abstract) AAAI 2026 One Layer's Trash is Another Layer's Treasure: Adaptive Layer-wise Visual Token Selection in LVLMs CVPR 2026 Query Efficient Structured Matrix Learning COLT 2026 SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels AAAI 2026 1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models EMNLP 2025 A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation JMLR 2025 Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition ACL 2025 A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning AISTATS 2025 Batch, match, and patch: low-rank approximations for score-based variational inference AISTATS 2025 COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection CVPR 2025 Distributed Differentially Private Data Analytics via Secure Sketching ICML 2025 Efficient One-shot Compression via Low-Rank Local Feature Distillation NAACL 2025 Faster Low-Rank Approximation and Kernel Ridge Regression via the Block-Nyström Method COLT 2025 Fast training and sampling of Restricted Boltzmann Machines ICLR 2025 From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs COLING 2025 Improving Graph Contrastive Learning with Community Structure UAI 2025 Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach IJCAI 2025 KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering AAAI 2025