Data Selection Strategies

We are working on bringing the data subset selection strategies for various machine learning frameworks like:

• Supervised learning (SL)

• Semi-supervised learning (SSL)

In our current version, we deployed data subset selection strategies in supervised learning and semi-supervised learning settings.

• Supervised Learning Data Selection Strategies
  • Data Selection Strategy (Base Class)
  • GLISTER
  • CRAIG
  • GradMatch
  • Random Strategy
  • Submodular Selection Strategy
  • REFERENCES
• Semi-supervised Learning Data Selection Strategies
  • Data Selection Strategy - Base Class
  • RETRIEVE Strategy
  • CRAIG Strategy
  • GradMatch Strategy
  • Random Strategy
  • REFERENCES