Pedro Costa

2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Pedro Costa trusts overall

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

  1. Diederik P. Kingma
  2. Andrew L. Maas
  3. Sergey Ioffe
  4. Individualized Treat
  5. Geoffrey E. Hinton
  6. Christian Szegedy
  7. Paweł Liskowski
  8. Max Welling
  9. Alex Krizhevsky
  10. Scott E. Reed

Who trusts Pedro Costa overall

  1. John Guibas
  2. Alejandro F Frangi
  3. Salman Ul Hassan Dar
  4. Berkman Sahiner
  5. Hoo-Chang Shin

Papers from Pedro Costa's perspective

Ordered by how strongly the researchers Pedro Costa trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers