Giuseppe Paolo

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Giuseppe Paolo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Lei Tai
  2. Diederik P. Kingma
  3. Yann LeCun
  4. Timothy P. Lillicrap
  5. Geoffrey E. Hinton
  6. Volodymyr Mnih
  7. Shixiang Shane Gu
  8. Jimmy Ba
  9. H. F. Durrant-Whyte
  10. Yoshua Bengio

Who trusts Giuseppe Paolo overall

  1. Shansi Zhang
  2. Lei Tai
  3. Kai Zhu
  4. Tristan Swedish
  5. Bo Liu
  6. Jingwei Zhang
  7. Jake Bruce
  8. Boyi Liu
  9. Tingxiang Fan
  10. Mark Pfeiffer

Papers from Giuseppe Paolo's perspective

Ordered by how strongly the researchers Giuseppe Paolo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Asynchronous Methods for Deep Reinforcement Learning
  10. Going deeper with convolutions

Their papers