Yue Wang

Artificial Intelligence · with Bai · 2018

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

Subfields

Whom Yue Wang trusts overall

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

  1. John Scott Bridle
  2. Diederik P. Kingma
  3. Ilya Sutskever
  4. Mantas Lukosevicius
  5. Nino Shervashidze
  6. Yoshua Bengio
  7. Felix Alexander Gers
  8. Geoffrey E. Hinton
  9. J. Urgen Schmidhuber
  10. Jimmy Ba

Papers from Yue Wang's perspective

Ordered by how strongly the researchers Yue Wang 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers