Natalia Díaz Rodríguez

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 13 papers; trusts 760 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Natalia Díaz Rodríguez trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Yann LeCun
  6. Kaiming He
  7. Ilya Sutskever
  8. Richard S. Sutton
  9. Alex Graves
  10. J. Urgen Schmidhuber

Who trusts Natalia Díaz Rodríguez overall

  1. Timothée Lesort
  2. Vincenzo Lomonaco
  3. Alexandre Heuillet
  4. Martin Mundt
  5. Tyler L. Hayes
  6. Hugo Caselles-Dupré
  7. Zhiqiu Lin
  8. Sinan Özgür Özgün
  9. Marvin Zhang
  10. Kalifou René Traoré

Papers from Natalia Díaz Rodríguez's perspective

Ordered by how strongly the researchers Natalia Díaz Rodríguez 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers