Ya Le

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 122 researchers and is trusted by 102 researchers here, as inferred from the citation graph.

Subfields

Whom Ya Le trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Karen Simonyan
  5. Ilya Sutskever
  6. Andrew Zisserman
  7. Nitish Srivastava
  8. Yann LeCun
  9. Yoshua Bengio
  10. X. Zhang

Who trusts Ya Le overall

  1. Fei Ye
  2. Gyuhak Kim
  3. Prashant Bhat
  4. Da-Wei Zhou
  5. Elahe Arani
  6. James Smith
  7. Bahram Zonooz
  8. Adrian G. Bors
  9. Bo Zhao
  10. Marco Toldo

Papers from Ya Le's perspective

Ordered by how strongly the researchers Ya Le 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers