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

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation NIPS 2024
Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis AISTATS 2024
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NIPS 2024
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity AISTATS 2024
Efficient Low-Dimensional Compression of Overparameterized Models AISTATS 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking CVPR 2024
Loki: Low-rank Keys for Efficient Sparse Attention NIPS 2024
Structured flexibility in recurrent neural networks via neuromodulation NIPS 2024
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models CVPR 2024
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation CVPR 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NIPS 2024
Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024
Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations ACL 2024
Expanding Sparse Tuning for Low Memory Usage NIPS 2024
Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs CVPR 2024
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs JMLR 2024
A non-backtracking method for long matrix and tensor completion COLT 2024
DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models EMNLP 2024
FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer WACV 2024
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024
Surgical Feature-Space Decomposition of LLMs: Why, When and How? ACL 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms NIPS 2024
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NIPS 2024
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression EMNLP 2024
On Socially Fair Low-Rank Approximation and Column Subset Selection NIPS 2024