:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Xv, Lin, Gao, Xian, Li, Ting, Fu, Yuzhuo
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2510.19385
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ARA: Adaptive Rank Allocation for Efficient Large Language Model SVD Compression
por: Xv, Lin, et al.
Publicado: (2025)

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression
por: Ding, Xuan, et al.
Publicado: (2025)

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives
por: Wang, Qinsi, et al.
Publicado: (2025)

IO-SVD: Input-Output Whitened SVD for Adaptive-Rank LLM Compression
por: Abbasi, Ali, et al.
Publicado: (2026)

AA-SVD : Anchored and Adaptive SVD for Large Language Model Compression
por: Sinha, Atul Kumar, et al.
Publicado: (2026)

Zero Sum SVD: Balancing Loss Sensitivity for Low Rank LLM Compression
por: Abbasi, Ali, et al.
Publicado: (2026)

Different Prompts, Different Ranks: Prompt-aware Dynamic Rank Selection for SVD-based LLM Compression
por: Zhu, Hengyi, et al.
Publicado: (2026)

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
por: Wang, Xin, et al.
Publicado: (2024)

Low-Rank Prehab: Preparing Neural Networks for SVD Compression
por: Qin, Haoran, et al.
Publicado: (2025)

KQ-SVD: Compressing the KV Cache with Provable Guarantees on Attention Fidelity
por: Lesens, Damien, et al.
Publicado: (2025)

SVD Contextual Sparsity Predictors for Fast LLM Inference
por: Serbin, Georgii, et al.
Publicado: (2026)

SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
por: Koren, Noam, et al.
Publicado: (2025)

SOLAR: SVD-Optimized Lifelong Attention for Recommendation
por: Zhang, Chenghao, et al.
Publicado: (2026)

Concatenated Matrix SVD: Compression Bounds, Incremental Approximation, and Error-Constrained Clustering
por: Shamrai, Maksym
Publicado: (2026)

List Sample Compression and Uniform Convergence
por: Hanneke, Steve, et al.
Publicado: (2024)

Enhancing Delta Compression in LLMs via SVD-based Quantization Error Minimization
por: Xiong, Boya, et al.
Publicado: (2025)

Bilevel Optimization with Lower-Level Uniform Convexity: Theory and Algorithm
por: Wu, Yuman, et al.
Publicado: (2026)

SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models
por: Hong, Chengjie, et al.
Publicado: (2026)

ExLLM: Experience-Enhanced LLM Optimization for Molecular Design and Beyond
por: Ran, Nian, et al.
Publicado: (2025)

PCA, SVD, and Centering of Data
por: Kim, Donggun, et al.
Publicado: (2023)

Beyond SGD, Without SVD: Proximal Subspace Iteration LoRA with Diagonal Fractional K-FAC
por: Almansoori, Abdulla Jasem, et al.
Publicado: (2026)

SliceGPT: Compress Large Language Models by Deleting Rows and Columns
por: Ashkboos, Saleh, et al.
Publicado: (2024)

OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning
por: Gao, Xian, et al.
Publicado: (2025)

Uniform Convergence Beyond Glivenko-Cantelli
por: Devale, Tanmay, et al.
Publicado: (2025)

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models
por: Shao, Zishan, et al.
Publicado: (2025)

Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models
por: Chekalina, Viktoriia, et al.
Publicado: (2025)

Beyond Uniform Credit: Causal Credit Assignment for Policy Optimization
por: Khandoga, Mykola, et al.
Publicado: (2026)

PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
por: Malinovskii, Vladimir, et al.
Publicado: (2024)

$k$-SVD with Gradient Descent
por: Jedra, Yassir, et al.
Publicado: (2025)

Uniformly Stable Algorithms for Adversarial Training and Beyond
por: Xiao, Jiancong, et al.
Publicado: (2024)

SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
por: Fang, Jiayu, et al.
Publicado: (2025)

Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate
por: Gao, Hongchang
Publicado: (2023)

Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Redundant Data
por: Ruiter, Skyler, et al.
Publicado: (2023)

LASER: Low-Rank Activation SVD for Efficient Recursion
por: Çakar, Ege, et al.
Publicado: (2026)

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
por: Wang, Jiawei, et al.
Publicado: (2025)

Beyond Johnson-Lindenstrauss: Uniform Bounds for Sketched Bilinear Forms
por: Deb, Rohan, et al.
Publicado: (2025)

Improving LLM Safety Alignment with Dual-Objective Optimization
por: Zhao, Xuandong, et al.
Publicado: (2025)

tenSVD algorithm for compression
por: Gallo, Michele
Publicado: (2025)

Learning More with Less: A Dynamic Dual-Level Down-Sampling Framework for Efficient Policy Optimization
por: Wang, Chao, et al.
Publicado: (2025)

Machine Learning-Enhanced Ant Colony Optimization for Column Generation
por: Xu, Hongjie, et al.
Publicado: (2024)