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2306.17504
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Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer
30 June 2023
Peng Mi
Li Shen
Tianhe Ren
Yiyi Zhou
Tianshuo Xu
Xiaoshuai Sun
Tongliang Liu
Rongrong Ji
Dacheng Tao
AAML
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Papers citing
"Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer"
6 / 6 papers shown
Title
Sharpness-Aware Minimization Improves Language Model Generalization
Dara Bahri
H. Mobahi
Yi Tay
119
97
0
16 Oct 2021
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du
Hanshu Yan
Jiashi Feng
Joey Tianyi Zhou
Liangli Zhen
Rick Siow Mong Goh
Vincent Y. F. Tan
AAML
102
132
0
07 Oct 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Itay Hubara
Brian Chmiel
Moshe Island
Ron Banner
S. Naor
Daniel Soudry
44
110
0
16 Feb 2021
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
Congliang Chen
Li Shen
Fangyu Zou
Wei Liu
36
26
0
14 Jan 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
243
7,597
0
03 Jul 2012
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