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DropAttack: A Masked Weight Adversarial Training Method to Improve
  Generalization of Neural Networks

DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks

29 August 2021
Shiwen Ni
Jiawen Li
Hung-Yu kao
    AAML
ArXivPDFHTML

Papers citing "DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks"

4 / 4 papers shown
Title
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
223
438
0
25 Sep 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
Learning Reporting Dynamics during Breaking News for Rumour Detection in
  Social Media
Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media
A. Zubiaga
Maria Liakata
Rob Procter
42
175
0
24 Oct 2016
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
284
2,889
0
15 Sep 2016
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