NIPS Proceedingsβ

Gang Niu

10 Papers

  • Are Anchor Points Really Indispensable in Label-Noise Learning? (2019)
  • Uncoupled Regression from Pairwise Comparison Data (2019)
  • Binary Classification from Positive-Confidence Data (2018)
  • Co-teaching: Robust training of deep neural networks with extremely noisy labels (2018)
  • Masking: A New Perspective of Noisy Supervision (2018)
  • Learning from Complementary Labels (2017)
  • Positive-Unlabeled Learning with Non-Negative Risk Estimator (2017)
  • Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning (2016)
  • Analysis of Learning from Positive and Unlabeled Data (2014)
  • Analysis and Improvement of Policy Gradient Estimation (2011)