conftrace_

low-rank approximation

323 papers

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Also known as

LORA

Co-occurring keywords

model compression (3302) matrix factorization (529) matrix completion (356) tensor decomposition (375) singular value decomposition (222) matrix approximation (89) dimensionality reduction (720) tensor completion (64) kernel methods (1097) convex optimization (1321)

Papers

On Socially Fair Low-Rank Approximation and Column Subset Selection NIPS 2024
Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations ACL 2024
FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer WACV 2024
Continual Multi-View Clustering with Consistent Anchor Guidance IJCAI 2024
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models CVPR 2024
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling NIPS 2024
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures ICML 2023
Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization NIPS 2023
Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization ICML 2023
Compressing Transformers: Features Are Low-Rank, but Weights Are Not! AAAI 2023
Kissing to Find a Match: Efficient Low-Rank Permutation Representation NIPS 2023
Dynamic Low-rank Estimation for Transformer-based Language Models EMNLP 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework AAAI 2023
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions NIPS 2023
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting ICCV 2023
Efficient fair PCA for fair representation learning AISTATS 2023
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily NIPS 2023
Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms NIPS 2023
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks NIPS 2023
Efficient Low-rank Backpropagation for Vision Transformer Adaptation NIPS 2023
Optimal Convergence Rates for Agnostic Nyström Kernel Learning ICML 2023
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining AISTATS 2023
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation NIPS 2023