conftrace_

singular value decomposition

222 papers

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Also known as

SVD

Co-occurring keywords

model compression (3302) low-rank approximation (323) matrix factorization (529) low-rank adaptation (560) matrix completion (356) representation learning (6206) dimensionality reduction (720) convex optimization (1321) parameter-efficient fine-tuning (736) word embedding (1764)

Papers

JW-SVD: Bridging the Cross-Modal Mismatch in Post-Training MLLM Compression ACL 2026
FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models AAAI 2026
Putting Fair Division on the Map AAAI 2026
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients ACL 2026
Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning WACV 2026
OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning AAAI 2026
Ghost in the Transformer: Detecting Model Reuse with Invariant Spectral Signatures AAAI 2026
Mechanistic Dissection of Cross-Attention Subspaces in Text-to-Image Diffusion Models AAAI 2026
HiSVD: Principled Low-Rank Approximation of LLMs via Hierarchical Modeling of Information Capacity and Spectral Structure ACL 2026
TLoRA: Task-aware Low Rank Adaptation of Large Language Models ACL 2026
Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation? ACL 2026
GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR ACL 2026
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels 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
GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression EMNLP 2025
Activation Subspaces for Out-of-Distribution Detection ICCV 2025
SVD-GCL: A Noise-Augmented Hybrid Graph Contrastive Learning Framework for Recommendation COLING 2025
FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning ICCV 2025
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement AAAI 2025
Optimizing Lifelong Fine-Tuning for Multiple Tasks via Dataless Distribution Replay COLING 2025
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression NAACL 2025
TCFG: Tangential Damping Classifier-free Guidance CVPR 2025
Lightweight and Fast Real-time Image Enhancement via Decomposition of the Spatial-aware Lookup Tables ICCV 2025
LESA: Learnable LLM Layer Scaling-Up ACL 2025