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GAAT: Group Adaptive Adversarial Training to Improve the Trade-Off Between Robustness and Accuracy.
Yaguan Qian
Xiaoyu Liang
Ming Kang
Bin Wang
Zhaoquan Gu
Xing Wang
Chunming Wu
Published in:
Int. J. Pattern Recognit. Artif. Intell. (2022)
Keyphrases
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trade off
high accuracy
bias variance
computational efficiency
prediction accuracy
training set
data sets
image registration
training speed
improved accuracy
error rate
supervised learning
classification accuracy
computational cost
artificial neural networks
multi agent
learning algorithm
data mining