J. Ruales

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Ruales trusts overall

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

  1. Yoshua Bengio
  2. Yann LeCun
  3. Diederik P. Kingma
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Xavier Glorot
  7. Zhirong Wu
  8. Alex Krizhevsky

Papers from J. Ruales's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. GENERATIVE ADVERSARIAL NETS
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers