Pedro Porto Buarque de Gusmão

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pedro Porto Buarque de Gusmão trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Song Han
  6. Kaiming He
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Andrew Zisserman
  10. L. Eon Bottou

Who trusts Pedro Porto Buarque de Gusmão overall

  1. Hadi Pouransari
  2. Lin Wang

Papers from Pedro Porto Buarque de Gusmão's perspective

Ordered by how strongly the researchers Pedro Porto Buarque de Gusmão 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers