Emilio Jorge

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Emilio Jorge trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Sergey Ioffe
  5. L. V. D. van der Maaten
  6. Matthew J. Hausknecht
  7. Christian Szegedy
  8. Andrew Barto
  9. Jakob N. Foerster
  10. Alex Krizhevsky

Who trusts Emilio Jorge overall

  1. Jakob N. Foerster
  2. Serhii Havrylov
  3. Marie Ossenkopf
  4. Katrina Evtimova
  5. Alex Peysakhovich
  6. Ivan Titov
  7. Adam Lerer
  8. Gregory Farquhar
  9. Christian Schröder de Witt
  10. Mackenzie Jorgensen

Papers from Emilio Jorge's perspective

Ordered by how strongly the researchers Emilio Jorge 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers