NIPS Proceedingsβ

Jimmy Ba

5 Papers

  • Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (2017)
  • Using Fast Weights to Attend to the Recent Past (2016)
  • Learning Wake-Sleep Recurrent Attention Models (2015)
  • Do Deep Nets Really Need to be Deep? (2014)
  • Adaptive dropout for training deep neural networks (2013)