Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation

Documenti analoghi

• AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning
  di: Garg, Arpit, et al.
  Pubblicazione: (2025)
• PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
  di: Garg, Arpit, et al.
  Pubblicazione: (2023)
• Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
  di: Hoang, Dung Anh, et al.
  Pubblicazione: (2022)
• Learning to Complement with Multiple Humans
  di: Zhang, Zheng, et al.
  Pubblicazione: (2023)
• Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
  di: Pham, Cuong, et al.
  Pubblicazione: (2024)