Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data

Documenti analoghi

• SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions
  di: Bader, Jessica, et al.
  Pubblicazione: (2025)
• Understanding Trade offs When Conditioning Synthetic Data
  di: Trabucco, Brandon, et al.
  Pubblicazione: (2025)
• Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Understanding
  di: Jeon, Yerim, et al.
  Pubblicazione: (2025)
• Fake & Square: Training Self-Supervised Vision Transformers with Synthetic Data and Synthetic Hard Negatives
  di: Giakoumoglou, Nikolaos, et al.
  Pubblicazione: (2025)
• Investigation of Accuracy and Bias in Face Recognition Trained with Synthetic Data
  di: Korshunov, Pavel, et al.
  Pubblicazione: (2025)