David Ouyang

Nature · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom David Ouyang trusts overall

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

  1. Du Tran
  2. Christian Szegedy
  3. Philippe Huber
  4. Kaiming He
  5. Sergey Ioffe
  6. Ross B. Girshick
  7. Geoffrey E. Hinton
  8. Yann LeCun
  9. Tsung-Yi Lin
  10. Alex Krizhevsky

Papers from David Ouyang's perspective

Ordered by how strongly the researchers David Ouyang 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. ImageNet Large Scale Visual Recognition Challenge
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. Rethinking the Inception Architecture for Computer Vision

Their papers