Pablo Hernandez-Leal

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 263 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Pablo Hernandez-Leal trusts overall

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

  1. Richard S. Sutton
  2. Michael L. Littman
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Andrew Barto
  6. J. Urgen Schmidhuber
  7. Ronald J. Williams
  8. Michael H. Bowling
  9. Diederik P. Kingma
  10. Alex Krizhevsky

Who trusts Pablo Hernandez-Leal overall

  1. Kaiqing Zhang
  2. Amal Feriani
  3. Georgios Papoudakis
  4. Zhuoran Yang
  5. Hengyuan Hu
  6. Andreas Holzinger
  7. Ekram Hossain
  8. Jakob N. Foerster
  9. Stefano V. Albrecht
  10. Filippos Christianos

Papers from Pablo Hernandez-Leal's perspective

Ordered by how strongly the researchers Pablo Hernandez-Leal 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Reinforcement Learning: An Introduction
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers