Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning

Documenti analoghi

• DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning
  di: Tepeli, Yasin I., et al.
  Pubblicazione: (2024)
• Evaluating Supervised Machine Learning Models: Principles, Pitfalls, and Metric Selection
  di: Liu, Xuanyan, et al.
  Pubblicazione: (2026)
• Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning
  di: Falzari, Massimiliano, et al.
  Pubblicazione: (2025)
• Reinforcement Learning-Guided Semi-Supervised Learning
  di: Heidari, Marzi, et al.
  Pubblicazione: (2024)
• PFedDST: Personalized Federated Learning with Decentralized Selection Training
  di: Fan, Mengchen, et al.
  Pubblicazione: (2025)