Co-occurring keywords
Papers
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?
ICML 2023
Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm
JMLR 2023
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification
ACL 2022
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
AAAI 2022