Valery Naranjo

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Valery Naranjo 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

Papers from Valery Naranjo's perspective

Ordered by how strongly the researchers Valery Naranjo 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. Going deeper with convolutions
  3. ImageNet Large Scale Visual Recognition Challenge
  4. ImageNet classification with deep convolutional neural networks
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Microsoft COCO: Common Objects in Context
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers