Carlos Beltrán-González

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Carlos Beltrán-González trusts overall

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

  1. Yoshua Bengio
  2. Alex Graves
  3. Ronald J. Williams
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. J. Urgen Schmidhuber
  10. Tomas Mikolov

Who trusts Carlos Beltrán-González overall

  1. A. Sherstinsky
  2. Malte Ludewig
  3. Peter Ondruska
  4. Swarnendu Ghosh

Papers from Carlos Beltrán-González's perspective

Ordered by how strongly the researchers Carlos Beltrán-González 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. Learning Multiple Layers of Features from Tiny Images
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers