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2005.08321
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Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks
17 May 2020
Mahdieh Abbasi
Arezoo Rajabi
Christian Gagné
R. Bobba
AAML
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Papers citing
"Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks"
8 / 8 papers shown
Towards Inference Efficient Deep Ensemble Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Ziyue Li
Kan Ren
Yifan Yang
Xinyang Jiang
Yuqing Yang
Dongsheng Li
BDL
172
17
0
29 Jan 2023
Learning Robust Kernel Ensembles with Kernel Average Pooling
P. Bashivan
Adam Ibrahim
Amirozhan Dehghani
Yifei Ren
OOD
346
7
0
30 Sep 2022
The robust way to stack and bag: the local Lipschitz way
Thulasi Tholeti
Sheetal Kalyani
AAML
200
5
0
01 Jun 2022
Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances
D. Steinberg
P. Munro
AAML
78
0
0
13 Nov 2021
QuantifyML: How Good is my Machine Learning Model?
Mario Gleirscher
D. Gopinath
C. Păsăreanu
100
2
0
25 Oct 2021
Temperature as Uncertainty in Contrastive Learning
Oliver Zhang
Mike Wu
Jasmine Bayrooti
Noah D. Goodman
UQCV
340
37
0
08 Oct 2021
Adversarial Training with Stochastic Weight Average
International Conference on Information Photonics (ICIP), 2020
Joong-won Hwang
Youngwan Lee
Sungchan Oh
Yuseok Bae
OOD
AAML
171
14
0
21 Sep 2020
Robustness Verification for Classifier Ensembles
Dennis Gross
N. Jansen
Guillermo A. Pérez
S. Raaijmakers
AAML
138
8
0
12 May 2020
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