conftrace_

singular value decomposition

222 papers

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Also known as

SVD

Co-occurring keywords

model compression (3302) low-rank approximation (323) matrix factorization (529) low-rank adaptation (560) matrix completion (356) representation learning (6206) dimensionality reduction (720) convex optimization (1321) parameter-efficient fine-tuning (736) word embedding (1764)

Papers

Lightweight and Fast Real-time Image Enhancement via Decomposition of the Spatial-aware Lookup Tables ICCV 2025
Adaptive Rank Selections for Low-Rank Approximation of Language Models NAACL 2024
LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network AAAI 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning NIPS 2024
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor NIPS 2024
Ethos: Rectifying Language Models in Orthogonal Parameter Space NAACL 2024
On Differentially Private Subspace Estimation in a Distribution-Free Setting NIPS 2024
Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other NAACL 2024
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation NIPS 2024
Memory-Efficient LLM Training with Online Subspace Descent NIPS 2024
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors NIPS 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NIPS 2024
On Sampling Strategies for Spectral Model Sharding NIPS 2024
Average gradient outer product as a mechanism for deep neural collapse NIPS 2024
Cascade of phase transitions in the training of energy-based models NIPS 2024
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NIPS 2024
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach IJCAI 2024
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024
Panacea: Pareto Alignment via Preference Adaptation for LLMs NIPS 2024
Enhancing Translation Ability of Large Language Models by Leveraging Task-Related Layers COLING 2024
Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification AAAI 2024
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models CVPR 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NIPS 2024
SVD-AE: Simple Autoencoders for Collaborative Filtering IJCAI 2024
Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis AISTATS 2024