2024 "low-rank approximation" Papers
8 papers found
Debiased Distribution Compression
Lingxiao Li, Raaz Dwivedi, Lester Mackey
ICML 2024posterarXiv:2404.12290
Fast White-Box Adversarial Streaming Without a Random Oracle
Ying Feng, Aayush Jain, David Woodruff
ICML 2024posterarXiv:2406.06808
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
guangyan li, Yongqiang Tang, Wensheng Zhang
ICML 2024posterarXiv:2404.09695
LQER: Low-Rank Quantization Error Reconstruction for LLMs
Cheng Zhang, Jianyi Cheng, George Constantinides et al.
ICML 2024posterarXiv:2402.02446
LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation
Yuchen Su, Zhineng Chen, Zhiwen Shao et al.
AAAI 2024paperarXiv:2306.15142
17
citations
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song et al.
ICML 2024posterarXiv:2402.04520
Operator SVD with Neural Networks via Nested Low-Rank Approximation
Jongha (Jon) Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol et al.
ICML 2024posterarXiv:2402.03655
Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems
Bonan Zhang, Chia-Yu Chen, Naveen Verma
ICML 2024poster