NIPS Proceedingsβ

Rich Caruana

7 Papers

  • Do Deep Nets Really Need to be Deep? (2014)
  • Using multiple samples to learn mixture models (2013)
  • (Not) Bounding the True Error (2001)
  • Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping (2000)
  • Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs (1996)
  • Using the Future to "Sort Out" the Present: Rankprop and Multitask Learning for Medical Risk Evaluation (1995)
  • Learning Many Related Tasks at the Same Time with Backpropagation (1994)