Pierluigi Vito Amadori

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Pierluigi Vito Amadori trusts overall

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

  1. Andrew Y. Ng
  2. Pieter Abbeel
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Sergey Levine
  6. John Schulman
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Bernhard Schölkopf
  10. Jonathan Ho

Who trusts Pierluigi Vito Amadori overall

  1. Robert Dadashi
  2. L'eonard Hussenot

Papers from Pierluigi Vito Amadori's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. GENERATIVE ADVERSARIAL NETS
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Human-level control through deep reinforcement learning
  10. Learning Multiple Layers of Features from Tiny Images

Their papers