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subspace learning

96 papers

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Co-occurring keywords

dimensionality reduction (720) outlier detection (318) multi-view learning (391) manifold learning (402) multi-view clustering (199) sparse representation (297) robust principal component analysis (62) low-rank representation (71) principal component analysis (316) spectral clustering (304)

Papers

Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks AAAI 2026
Query Efficient Black-Box Visual Prompting with Subspace Learning CVPR 2025
Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors AAAI 2025
Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering IJCAI 2025
Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering IJCAI 2025
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning AAAI 2025
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace COLING 2025
Multi-Subspace Matrix Recovery from Permuted Data AAAI 2025
SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning ACL 2025
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning NIPS 2024
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals COLING 2024
Backpropagation-free Network for 3D Test-time Adaptation CVPR 2024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis IJCAI 2024
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning NIPS 2024
Mixture-of-Subspaces in Low-Rank Adaptation EMNLP 2024
Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification AAAI 2024
Subspace Learning for Effective Meta-Learning ICML 2022
EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning CVPR 2022
Fixed-Parameter and Approximation Algorithms for PCA with Outliers ICML 2021
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021
Privately Learning Subspaces NIPS 2021
Learning Neural Network Subspaces ICML 2021
Unsupervised Active Learning via Subspace Learning AAAI 2021
Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021