Pedro H. Calais

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pedro H. Calais trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Tomas Mikolov
  4. Yann LeCun
  5. Quoc V. Le
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Kaiming He
  10. Alex Graves

Who trusts Pedro H. Calais overall

  1. Binny Mathew

Papers from Pedro H. Calais's perspective

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

Their papers