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Enhancing In-Context Learning Performance with just SVD-Based Weight
  Pruning: A Theoretical Perspective

Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective

6 June 2024
Xinhao Yao
Xiaolin Hu
Shenzhi Yang
Yong Liu
ArXivPDFHTML

Papers citing "Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective"

5 / 5 papers shown
Title
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Xinhao Yao
Hongjin Qian
Xiaolin Hu
Gengze Xu
Wei Liu
Jian Luan
B. Wang
Y. Liu
48
0
0
03 Oct 2024
Low-rank lottery tickets: finding efficient low-rank neural networks via
  matrix differential equations
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Steffen Schotthöfer
Emanuele Zangrando
J. Kusch
Gianluca Ceruti
Francesco Tudisco
53
30
0
26 May 2022
Initialization and Regularization of Factorized Neural Layers
Initialization and Regularization of Factorized Neural Layers
M. Khodak
Neil A. Tenenholtz
Lester W. Mackey
Nicolò Fusi
63
56
0
03 May 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
277
1,114
0
18 Apr 2021
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
105
146
0
06 Nov 2019
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