Adaptive Data Harvesting for Efficient Neural Network Learning with Universal Constraints

Documenti analoghi

• ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
  di: Afane, Mohamed, et al.
  Pubblicazione: (2025)
• naPINN: Noise-Adaptive Physics-Informed Neural Networks for Recovering Physics from Corrupted Measurement
  di: Kim, Hankyeol, et al.
  Pubblicazione: (2026)
• Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
  di: Zheng, Zinan, et al.
  Pubblicazione: (2024)
• Adaptive Width Neural Networks
  di: Errica, Federico, et al.
  Pubblicazione: (2025)
• BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion
  di: Wei, Jia, et al.
  Pubblicazione: (2024)