Kaichun Yao

Natural Language Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kaichun Yao trusts overall

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

  1. Mark J van Rossum
  2. Richard S. Sutton
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alex Graves
  6. Diederik P. Kingma
  7. Danilo Jimenez Rezende
  8. Mike Schuster
  9. Jeffrey Pennington
  10. Christopher D. Manning

Who trusts Kaichun Yao overall

  1. Antoine Yang
  2. Bang Liu
  3. Vishwajeet Kumar

Papers from Kaichun Yao's perspective

Ordered by how strongly the researchers Kaichun Yao 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers