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matrix decomposition

119 papers

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Also known as

SVD

Co-occurring keywords

model compression (3283) matrix factorization (529) low-rank approximation (322) dimensionality reduction (720) principal component analysis (316) unsupervised learning (3255) low-rank decomposition (36) singular value decomposition (216) robust principal component analysis (62) convex optimization (1320)

Papers

1LoRA: Summation Compression for Very Low-Rank Adaptation WACV 2026
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation AAAI 2025
Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches AAAI 2025
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning CVPR 2025
A Flag Decomposition for Hierarchical Datasets CVPR 2025
DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models CVPR 2025
OneBit: Towards Extremely Low-bit Large Language Models NIPS 2024
Towards Better Structured Pruning Saliency by Reorganizing Convolution WACV 2024
Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis AISTATS 2024
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression ACL 2024
Compressing Large Language Models using Low Rank and Low Precision Decomposition NIPS 2024
GACL: Exemplar-Free Generalized Analytic Continual Learning NIPS 2024
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection WACV 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NIPS 2024
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction AAAI 2024
SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective CVPR 2024
Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models NAACL 2024
Towards Robust Multi-Label Learning against Dirty Label Noise IJCAI 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization NIPS 2024
Delegation-Relegation for Boolean Matrix Factorization AAAI 2024
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors NIPS 2024
Oja's Algorithm for Streaming Sparse PCA NIPS 2024
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach JMLR 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering ICML 2023
Dynamic Low-rank Estimation for Transformer-based Language Models EMNLP 2023