CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization
Learning with noisy labels is nontrivial for deep learning models. Sample selection is a
widely investigated research topic for handling noisy labels. However, most existing …
widely investigated research topic for handling noisy labels. However, most existing …
[PDF][PDF] CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization
X Zhang, Y Liu, H Wang, W Wang, P Ni, J Zhang - 2023 - researchgate.net
Learning with noisy labels is nontrivial for deep learning models. Sample selection is a
widely investigated research topic for handling noisy labels. However, most existing …
widely investigated research topic for handling noisy labels. However, most existing …