Paulo López-Meyer

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paulo López-Meyer trusts overall

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

  1. Yarin Gal
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. L. Eon Bottou
  6. Alex Kendall
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Yoshua Bengio

Papers from Paulo López-Meyer's perspective

Ordered by how strongly the researchers Paulo López-Meyer 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Going deeper with convolutions
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers