singular value decomposition

AdaSVD: Singular Value Decomposition with Adaptive Mechanisms for Large Multimodal Models CVPR 2026 A Training-Free Style-Personalization via SVD-Based Feature Decomposition CVPR 2026 Bridging Domains through Subspace-Aware Model Merging CVPR 2026 Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation? ACL 2026 DC-Merge: Improving Model Merging with Directional Consistency CVPR 2026 Efficient frequent directions algorithms for approximate decomposition of matrices and higher-order tensors JMLR 2026 Enhancing Mixture-of-Experts Specialization via Cluster-Aware Upcycling CVPR 2026 Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion Learning CVPR 2026 Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning WACV 2026 FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models CVPR 2026 FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models AAAI 2026 Forecast the Principal, Stabilize the Residual: Subspace-Aware Feature Caching for Diffusion Transformers CVPR 2026 From Weights to Concepts: Data-Free Interpretability of CLIP via Singular Vector Decomposition CVPR 2026 GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR ACL 2026 Ghost in the Transformer: Detecting Model Reuse with Invariant Spectral Signatures AAAI 2026 Head-wise Adaptive Rotary Positional Encoding for Fine-Grained Image Generation CVPR 2026 HiSVD: Principled Low-Rank Approximation of LLMs via Hierarchical Modeling of Information Capacity and Spectral Structure ACL 2026 How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients ACL 2026 JW-SVD: Bridging the Cross-Modal Mismatch in Post-Training MLLM Compression ACL 2026 Mechanistic Dissection of Cross-Attention Subspaces in Text-to-Image Diffusion Models AAAI 2026 OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning AAAI 2026 Putting Fair Division on the Map AAAI 2026 RCP-LO: A Relative Coordinate Prediction Framework for Generalizable Deep LiDAR Odometry AAAI 2026 Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging AAAI 2026 SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels AAAI 2026