Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition

Documenti analoghi

• Pseudo-label Induced Subspace Representation Learning for Robust Out-of-Distribution Detection
  di: Azad, Tarhib Al, et al.
  Pubblicazione: (2025)
• Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
  di: Sayem, Faizul Rakib, et al.
  Pubblicazione: (2025)
• Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
  di: Jiang, Xuefeng, et al.
  Pubblicazione: (2024)
• Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective
  di: Ibrahim, Shahana, et al.
  Pubblicazione: (2024)
• Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts
  di: Huang, Weipeng, et al.
  Pubblicazione: (2025)