Mengtian Zhang

Learning With Non-Uniform Label Noise: A Cluster-Dependent Weakly Supervised Approach

Learning with noisy labels is a challenging task in machine learning. Furthermore in reality, label noise can be highly non-uniform in feature space, e.g. with higher error rate for more difficult samples. Some recent works consider instance-dependent label noise but they require additional informat…