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cs.LG2022★ 9 cited
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness
Yiqi Zhong, Lei Wu, Xianming Liu +1
Robustness of deep neural networks (DNNs) to malicious perturbations is a hot topic in trustworthy AI. Existing techniques obtain robust models given fixed datasets, either by modi…
cs.LG2021
Learning with Noisy Labels via Sparse Regularization
Xiong Zhou, Xianming Liu, Chenyang Wang +3
Learning with noisy labels is an important and challenging task for training accurate deep neural networks. Some commonly-used loss functions, such as Cross Entropy (CE), suffer fr…