Ran Wang

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ran Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Rico Sennrich
  3. Ilya Sutskever
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Oriol Vinyals
  7. Ian J. Goodfellow
  8. Diederik P. Kingma
  9. Barry Haddow
  10. Nitish Srivastava

Papers from Ran Wang's perspective

Ordered by how strongly the researchers Ran Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Gradient-based learning applied to document recognition
  9. Distilling the Knowledge in a Neural Network (arXiv.org)
  10. ImageNet: A large-scale hierarchical image database

Their papers