Emilio Parrado-Hernández

Artificial Intelligence · 2006–2012

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Emilio Parrado-Hernández trusts overall

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

  1. J. Langford
  2. John Shawe-Taylor
  3. Francis R. Bach
  4. David A. McAllester
  5. Bernhard Schölkopf
  6. Vladimir Naumovich Vapnik
  7. Corinna Cortes
  8. B. Taskar
  9. Tong Zhang
  10. Nello Cristianini

Who trusts Emilio Parrado-Hernández overall

  1. Ben London
  2. Pierre Alquier
  3. Pascal Germain
  4. Jeffrey Negrea
  5. Luc Bégin
  6. Jing Zhao
  7. Shiliang Sun
  8. François Laviolette
  9. Yevgeny Seldin
  10. Asaf Noy

Papers from Emilio Parrado-Hernández's perspective

Ordered by how strongly the researchers Emilio Parrado-Hernández 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers