Hugo Jair Escalante

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 21 papers; trusts 570 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Hugo Jair Escalante trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Karen Simonyan
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. David G. Lowe

Who trusts Hugo Jair Escalante overall

  1. Marc-André Zöller
  2. Marco F. Huber
  3. Pichao Wang
  4. Ronghang Hu
  5. Zhengyuan Yang
  6. Christina Heinze-Deml
  7. Qing-Yuan Jiang
  8. Wanqing Li
  9. Sergio Escalera
  10. Wojciech Samek

Papers from Hugo Jair Escalante's perspective

Ordered by how strongly the researchers Hugo Jair 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers