Andres Diaz-Pinto

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andres Diaz-Pinto trusts overall

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

  1. Yann LeCun
  2. Christian Szegedy
  3. Kaiming He
  4. François Chollet
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Trevor J. Hastie
  8. Nitish Srivastava
  9. Karen Simonyan
  10. Rüdiger Bock

Papers from Andres Diaz-Pinto's perspective

Ordered by how strongly the researchers Andres Diaz-Pinto 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. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  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