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low-rank decomposition

36 papers

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Co-occurring keywords

model compression (3302) matrix decomposition (119) sparse decomposition (18) matrix factorization (529) robust principal component analysis (62) sparse matrix (49) tensor decomposition (375) low-rank approximation (323) low-rank matrix (174) kernel methods (1097)

Papers

FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression EACL 2026
Fast Guaranteed Robust Local-Smooth Principal Component Separation AAAI 2026
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter AAAI 2025
Compression-Aware Computing for Scalable and Sustainable AI AAAI 2025
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method IJCAI 2025
CASP: Compression of Large Multimodal Models Based on Attention Sparsity CVPR 2025
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression AAAI 2025
MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition EMNLP 2024
Compressing Large Language Models using Low Rank and Low Precision Decomposition NIPS 2024
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components AISTATS 2024
Expanding Sparse Tuning for Low Memory Usage NIPS 2024
Self-supervised Graph Neural Networks via Low-Rank Decomposition NIPS 2023
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators NIPS 2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition NIPS 2021
DRONE: Data-aware Low-rank Compression for Large NLP Models NIPS 2021
Robust principal component analysis for generalized multi-view models UAI 2021
Partial Trace Regression and Low-Rank Kraus Decomposition ICML 2020
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition ICML 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression CVPR 2020
A Nonconvex Projection Method for Robust PCA AAAI 2019
Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition CVPR 2019
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition AAAI 2019
Robust Principal Component Analysis-Based Infrared Small Target Detection AAAI 2019
Multi-output Polynomial Networks and Factorization Machines NIPS 2017
Kernel Square-Loss Exemplar Machines for Image Retrieval CVPR 2017