Poster "low-rank approximation" Papers
14 papers found
Conference
Demystifying Language Model Forgetting with Low-rank Example Associations
Xisen Jin, Xiang Ren
NEURIPS 2025arXiv:2406.14026
6
citations
Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
Minchan Jeong, Jongha (Jon) Ryu, Se-Young Yun et al.
NEURIPS 2025arXiv:2507.07222
3
citations
HOT: Hadamard-based Optimized Training
Seonggon Kim, Juncheol Shin, Seung-taek Woo et al.
CVPR 2025arXiv:2503.21261
QERA: an Analytical Framework for Quantization Error Reconstruction
Cheng Zhang, Jeffrey T. H. Wong, Can Xiao et al.
ICLR 2025arXiv:2410.06040
11
citations
SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models
Muyang Li, Yujun Lin, Zhekai Zhang et al.
ICLR 2025arXiv:2411.05007
98
citations
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin
Fangyikang Wang, Hubery Yin, Lei Qian et al.
ICCV 2025arXiv:2505.24222
3
citations
Debiased Distribution Compression
Lingxiao Li, Raaz Dwivedi, Lester Mackey
ICML 2024arXiv:2404.12290
4
citations
Fast White-Box Adversarial Streaming Without a Random Oracle
Ying Feng, Aayush Jain, David Woodruff
ICML 2024arXiv:2406.06808
3
citations
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
guangyan li, Yongqiang Tang, Wensheng Zhang
ICML 2024arXiv:2404.09695
8
citations
LQER: Low-Rank Quantization Error Reconstruction for LLMs
Cheng Zhang, Jianyi Cheng, George Constantinides et al.
ICML 2024arXiv:2402.02446
27
citations
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song et al.
ICML 2024arXiv:2402.04520
46
citations
Operator SVD with Neural Networks via Nested Low-Rank Approximation
Jongha (Jon) Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol et al.
ICML 2024arXiv:2402.03655
9
citations
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
Yangyang Guo, Guangzhi Wang, Mohan Kankanhalli
CVPR 2024arXiv:2310.10700
10
citations
Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems
Bonan Zhang, Chia-Yu Chen, Naveen Verma
ICML 2024