Jhair Gallardo

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 314 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jhair Gallardo trusts overall

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

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

Who trusts Jhair Gallardo overall

  1. Tyler L. Hayes
  2. Prashant Bhat
  3. Zachary Alan Daniels
  4. Christopher Kanan
  5. Bahram Zonooz
  6. Oleksiy Ostapenko
  7. Aswin Raghavan

Papers from Jhair Gallardo's perspective

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

Their papers