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Towards Robust Neural Networks via Orthogonal Diversity
v1v2v3v4v5 (latest)

Towards Robust Neural Networks via Orthogonal Diversity

Pattern Recognition (Pattern Recognit.), 2020
23 October 2020
Kun Fang
Qinghua Tao
Yingwen Wu
Tao Li
Jia Cai
Feipeng Cai
Xiaolin Huang
Jie Yang
    AAML
ArXiv (abs)PDFHTML

Papers citing "Towards Robust Neural Networks via Orthogonal Diversity"

4 / 4 papers shown
Title
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss
  Landscape Perspective
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape PerspectiveInternational Journal of Computer Vision (IJCV), 2023
Kun Fang
Qinghua Tao
Xiaolin Huang
Jie Yang
OODD
185
6
0
22 Oct 2023
Multi-head Ensemble of Smoothed Classifiers for Certified Robustness
Multi-head Ensemble of Smoothed Classifiers for Certified RobustnessNeural Networks (NN), 2022
Kun Fang
Qinghua Tao
Yingwen Wu
Tao Li
Xiaolin Huang
Jie Yang
AAML
126
2
0
20 Nov 2022
Unifying Gradients to Improve Real-world Robustness for Deep Networks
Unifying Gradients to Improve Real-world Robustness for Deep NetworksACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Yingwen Wu
Sizhe Chen
Kun Fang
Xiaolin Huang
AAML
175
4
0
12 Aug 2022
End-to-end Kernel Learning via Generative Random Fourier Features
End-to-end Kernel Learning via Generative Random Fourier FeaturesPattern Recognition (Pattern Recognit.), 2020
Kun Fang
Fanghui Liu
Xiaolin Huang
Jie Yang
316
10
0
10 Sep 2020
1