low-rank approximation

Eigen Attention: Attention in Low-Rank Space for KV Cache Compression EMNLP 2024 Entrywise error bounds for low-rank approximations of kernel matrices NeurIPS 2024 Expanding Sparse Tuning for Low Memory Usage NeurIPS 2024 Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024 FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer WACV 2024 From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs JMLR 2024 Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NeurIPS 2024 HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models CVPR 2024 Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity AISTATS 2024 Latent Gaussian Graphical Models with Golazo Penalty PGM 2024 Loki: Low-rank Keys for Efficient Sparse Attention NeurIPS 2024 LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking CVPR 2024 Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs CVPR 2024 Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning CLeaR 2024 Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time ICLR 2024 Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling NeurIPS 2024 Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024 Low-rank Variational Bayes correction to the Laplace method JMLR 2024 LQER: Low-Rank Quantization Error Reconstruction for LLMs ICML 2024 LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network AAAI 2024 Metric Transforms and Low Rank Representations of Kernels for Fast Attention NeurIPS 2024 On Socially Fair Low-Rank Approximation and Column Subset Selection NeurIPS 2024 On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs) NeurIPS 2024 Operator SVD with Neural Networks via Nested Low-Rank Approximation ICML 2024 Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms ICLR 2024