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Label Augmentation for Neural Networks Robustness

Label Augmentation for Neural Networks Robustness

4 August 2024
Fatemeh Amerehi
Patrick Healy
    AAML
ArXivPDFHTML

Papers citing "Label Augmentation for Neural Networks Robustness"

6 / 6 papers shown
Title
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick Xin
Behrooz Ghorbani
Ankush Garg
Orhan Firat
Justin Gilmer
MoMe
67
61
0
23 Sep 2022
Understanding and Improving Robustness of Vision Transformers through
  Patch-based Negative Augmentation
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
Yao Qin
Chiyuan Zhang
Ting Chen
Balaji Lakshminarayanan
Alex Beutel
Xuezhi Wang
ViT
39
42
0
15 Oct 2021
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
71
473
0
02 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
263
10,196
0
16 Nov 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
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