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Minimum sharpness: Scale-invariant parameter-robustness of neural
  networks

Minimum sharpness: Scale-invariant parameter-robustness of neural networks

23 June 2021
Hikaru Ibayashi
Takuo Hamaguchi
Masaaki Imaizumi
ArXivPDFHTML

Papers citing "Minimum sharpness: Scale-invariant parameter-robustness of neural networks"

5 / 5 papers shown
Title
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization
Kayhan Behdin
Qingquan Song
Aman Gupta
S. Keerthi
Ayan Acharya
Borja Ocejo
Gregory Dexter
Rajiv Khanna
D. Durfee
Rahul Mazumder
AAML
15
7
0
19 Feb 2023
Exponential escape efficiency of SGD from sharp minima in non-stationary
  regime
Exponential escape efficiency of SGD from sharp minima in non-stationary regime
Hikaru Ibayashi
Masaaki Imaizumi
26
4
0
07 Nov 2021
BN-invariant sharpness regularizes the training model to better
  generalization
BN-invariant sharpness regularizes the training model to better generalization
Mingyang Yi
Huishuai Zhang
Wei Chen
Zhi-Ming Ma
Tie-Yan Liu
22
3
0
08 Jan 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
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
281
2,888
0
15 Sep 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
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