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cs.CV2020
Noisy Concurrent Training for Efficient Learning under Label Noise
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
Deep neural networks (DNNs) fail to learn effectively under label noise and have been shown to memorize random labels which affect their generalization performance. We consider lea…
cs.CV2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks
Elahe Arani, Fahad Sarfraz, Bahram Zonooz
Adversarial training has been proven to be an effective technique for improving the adversarial robustness of models. However, there seems to be an inherent trade-off between optim…