Skip to content
conftrace_

subspace learning

101 papers

Papers

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