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Formalizing Generalization and Robustness of Neural Networks to Weight
  Perturbations

Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations

3 March 2021
Yu-Lin Tsai
Chia-Yi Hsu
Chia-Mu Yu
Pin-Yu Chen
    AAML
    OOD
ArXivPDFHTML

Papers citing "Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations"

6 / 6 papers shown
Title
Enhancing selectivity using Wasserstein distance based reweighing
Enhancing selectivity using Wasserstein distance based reweighing
Pratik Worah
OOD
50
0
0
21 Jan 2024
Investigating Weight-Perturbed Deep Neural Networks With Application in
  Iris Presentation Attack Detection
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection
Renu Sharma
Redwan Sony
Arun Ross
AAML
16
3
0
21 Nov 2023
Exploring the cloud of feature interaction scores in a Rashomon set
Exploring the cloud of feature interaction scores in a Rashomon set
Sichao Li
Rong Wang
Quanling Deng
Amanda S. Barnard
14
5
0
17 May 2023
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
194
345
0
15 Dec 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
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
119
577
0
27 Feb 2015
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