Alberto N. Escalante

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alberto N. Escalante trusts overall

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

  1. Laurenz Wiskott
  2. Mathias Franzius
  3. Chih-Jen Lin
  4. R. Fisher
  5. Pietro Berkes
  6. Xiaofei He
  7. Zhang Zhang
  8. Oliver Jesorsky
  9. Geoffrey E. Hinton
  10. Terrence J. Sejnowski

Papers from Alberto N. Escalante's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers