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AlphaDecay:Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs

AlphaDecay:Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs

17 June 2025
Di He
Ajay Jaiswal
Songjun Tu
Li Shen
Ganzhao Yuan
Shiwei Liu
L. Yin
ArXiv (abs)PDFHTML

Papers citing "AlphaDecay:Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs"

11 / 11 papers shown
Title
Make Your LLM Fully Utilize the Context
Make Your LLM Fully Utilize the Context
Shengnan An
Zexiong Ma
Zeqi Lin
Nanning Zheng
Jian-Guang Lou
SyDa
95
66
0
25 Apr 2024
ReLoRA: High-Rank Training Through Low-Rank Updates
ReLoRA: High-Rank Training Through Low-Rank Updates
Vladislav Lialin
Namrata Shivagunde
Sherin Muckatira
Anna Rumshisky
BDL
79
115
0
11 Jul 2023
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
171
5,192
0
10 Jan 2022
Leveraging redundancy in attention with Reuse Transformers
Leveraging redundancy in attention with Reuse Transformers
Srinadh Bhojanapalli
Ayan Chakrabarti
Andreas Veit
Michal Lukasik
Himanshu Jain
Frederick Liu
Yin-Wen Chang
Sanjiv Kumar
43
26
0
13 Oct 2021
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed
  Gradients
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Juntang Zhuang
Tommy M. Tang
Yifan Ding
S. Tatikonda
Nicha Dvornek
X. Papademetris
James S. Duncan
ODL
165
517
0
15 Oct 2020
Predicting trends in the quality of state-of-the-art neural networks
  without access to training or testing data
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
Charles H. Martin
Tongsu Peng
Peng
Michael W. Mahoney
83
110
0
17 Feb 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
445
20,298
0
23 Oct 2019
Traditional and Heavy-Tailed Self Regularization in Neural Network
  Models
Traditional and Heavy-Tailed Self Regularization in Neural Network Models
Charles H. Martin
Michael W. Mahoney
79
125
0
24 Jan 2019
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
775
36,861
0
25 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
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