Ruihan Zhao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruihan Zhao trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Oriol Vinyals
  5. Kaiming He
  6. Yann LeCun
  7. Diederik P. Kingma

Papers from Ruihan Zhao's perspective

Ordered by how strongly the researchers Ruihan Zhao 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers