Co-occurring keywords · papers mentioning both
model compression
(18)
matrix factorization
(17)
low-rank approximation
(17)
non-negative matrix factorization
(12)
dimensionality reduction
(11)
singular value decomposition
(10)
robust principal component analysis
(9)
unsupervised learning
(8)
principal component analysis
(8)
low-rank decomposition
(8)
Papers
1LoRA: Summation Compression for Very Low-Rank Adaptation
WACV 2026
Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters
ICLR 2025
A Flag Decomposition for Hierarchical Datasets
CVPR 2025
DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models
CVPR 2025
Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches
AAAI 2025
MoDeGPT: Modular Decomposition for Large Language Model Compression
ICLR 2025
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
CVPR 2025
Selective Aggregation for Low-Rank Adaptation in Federated Learning
ICLR 2025
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation
AAAI 2025
Compressing Large Language Models using Low Rank and Low Precision Decomposition
NeurIPS 2024
Delegation-Relegation for Boolean Matrix Factorization
AAAI 2024
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
ICLR 2024
GACL: Exemplar-Free Generalized Analytic Continual Learning
NeurIPS 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization
NeurIPS 2024
Oja's Algorithm for Streaming Sparse PCA
NeurIPS 2024
OneBit: Towards Extremely Low-bit Large Language Models
NeurIPS 2024
Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
NAACL 2024
Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis
AISTATS 2024
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection
WACV 2024
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction
AAAI 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
NeurIPS 2024
SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective
CVPR 2024
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
NeurIPS 2024
Towards Better Structured Pruning Saliency by Reorganizing Convolution
WACV 2024
Towards Robust Multi-Label Learning against Dirty Label Noise
IJCAI 2024