Rafael Molina

Computer Vision and Pattern Recognition · 2010–2018

A researcher in the Science corpus: 4 papers; trusts 123 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Rafael Molina trusts overall

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

  1. Radford M. Neal
  2. David L. Donoho
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Michael V. Boland
  6. E.J. Candes
  7. Kaiming He
  8. Yoshua Bengio
  9. Ruslan Salakhutdinov
  10. Alex Krizhevsky

Who trusts Rafael Molina overall

  1. Thierry Bouwmans
  2. Zai Yang
  3. Andrea Massa
  4. Yale Song
  5. Qi Xie

Papers from Rafael Molina's perspective

Ordered by how strongly the researchers Rafael Molina 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. ImageNet: A large-scale hierarchical image database
  7. GENERATIVE ADVERSARIAL NETS
  8. Long Short-Term Memory
  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